Computer Vision Guide

A guide covering Computer Vision including the applications, libraries and tools that will make you a better and more efficient Computer Vision development.

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Computer Vision Learning Resources

Computer Vision is a field of Artificial Intelligence (AI) that focuses on enabling computers to identify and understand objects and people in images and videos.

OpenCV Courses

Exploring Computer Vision in Microsoft Azure

Top Computer Vision Courses Online | Coursera

Top Computer Vision Courses Online | Udemy

Learn Computer Vision with Online Courses and Lessons | edX

Computer Vision and Image Processing Fundamentals | edX

Introduction to Computer Vision Courses | Udacity

Computer Vision Nanodegree program | Udacity

Machine Vision Course |MIT Open Courseware

Computer Vision Training Courses | NobleProg

Visual Computing Graduate Program | Stanford Online

Computer Vision Tools, Libraries, and Frameworks

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OpenCV is a highly optimized library with focus on real-time computer vision applications. The C++, Python, and Java interfaces support Linux, MacOS, Windows, iOS, and Android.

Microsoft Cognitive Toolkit (CNTK) is an open-source toolkit for commercial-grade distributed deep learning. It describes neural networks as a series of computational steps via a directed graph. CNTK allows the user to easily realize and combine popular model types such as feed-forward DNNs, convolutional neural networks (CNNs) and recurrent neural networks (RNNs/LSTMs). CNTK implements stochastic gradient descent (SGD, error backpropagation) learning with automatic differentiation and parallelization across multiple GPUs and servers.

Scikit-Learn is a Python module for machine learning built on top of SciPy, NumPy, and matplotlib, making it easier to apply robust and simple implementations of many popular machine learning algorithms.

NVIDIA cuDNN is a GPU-accelerated library of primitives for deep neural networks. cuDNN provides highly tuned implementations for standard routines such as forward and backward convolution, pooling, normalization, and activation layers. cuDNN accelerates widely used deep learning frameworks, including Caffe2, Chainer, Keras, MATLAB, MxNet, PyTorch, and TensorFlow.

Automated Driving Toolbox™ is a MATLAB tool that provides algorithms and tools for designing, simulating, and testing ADAS and autonomous driving systems. You can design and test vision and lidar perception systems, as well as sensor fusion, path planning, and vehicle controllers. Visualization tools include a bird’s-eye-view plot and scope for sensor coverage, detections and tracks, and displays for video, lidar, and maps. The toolbox lets you import and work with HERE HD Live Map data and OpenDRIVE® road networks. It also provides reference application examples for common ADAS and automated driving features, including FCW, AEB, ACC, LKA, and parking valet. The toolbox supports C/C++ code generation for rapid prototyping and HIL testing, with support for sensor fusion, tracking, path planning, and vehicle controller algorithms.

LRSLibrary is a Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos. The library was designed for moving object detection in videos, but it can be also used for other computer vision and machine learning problems.

Image Processing Toolbox™ is a tool that provides a comprehensive set of reference-standard algorithms and workflow apps for image processing, analysis, visualization, and algorithm development. You can perform image segmentation, image enhancement, noise reduction, geometric transformations, image registration, and 3D image processing.

Computer Vision Toolbox™ is a tool that provides algorithms, functions, and apps for designing and testing computer vision, 3D vision, and video processing systems. You can perform object detection and tracking, as well as feature detection, extraction, and matching. You can automate calibration workflows for single, stereo, and fisheye cameras. For 3D vision, the toolbox supports visual and point cloud SLAM, stereo vision, structure from motion, and point cloud processing.

Statistics and Machine Learning Toolbox™ is a tool that provides functions and apps to describe, analyze, and model data. You can use descriptive statistics, visualizations, and clustering for exploratory data analysis; fit probability distributions to data; generate random numbers for Monte Carlo simulations, and perform hypothesis tests. Regression and classification algorithms let you draw inferences from data and build predictive models either interactively, using the Classification and Regression Learner apps, or programmatically, using AutoML.

Lidar Toolbox™ is a tool that provides algorithms, functions, and apps for designing, analyzing, and testing lidar processing systems. You can perform object detection and tracking, semantic segmentation, shape fitting, lidar registration, and obstacle detection. Lidar Toolbox supports lidar-camera cross calibration for workflows that combine computer vision and lidar processing.

Mapping Toolbox™ is a tool that provides algorithms and functions for transforming geographic data and creating map displays. You can visualize your data in a geographic context, build map displays from more than 60 map projections, and transform data from a variety of sources into a consistent geographic coordinate system.

UAV Toolbox is an application that provides tools and reference applications for designing, simulating, testing, and deploying unmanned aerial vehicle (UAV) and drone applications. You can design autonomous flight algorithms, UAV missions, and flight controllers. The Flight Log Analyzer app lets you interactively analyze 3D flight paths, telemetry information, and sensor readings from common flight log formats.

Parallel Computing Toolbox™ is a tool that lets you solve computationally and data-intensive problems using multicore processors, GPUs, and computer clusters. High-level constructs such as parallel for-loops, special array types, and parallelized numerical algorithms enable you to parallelize MATLAB® applications without CUDA or MPI programming. The toolbox lets you use parallel-enabled functions in MATLAB and other toolboxes. You can use the toolbox with Simulink® to run multiple simulations of a model in parallel. Programs and models can run in both interactive and batch modes.

Partial Differential Equation Toolbox™ is a tool that provides functions for solving structural mechanics, heat transfer, and general partial differential equations (PDEs) using finite element analysis.

ROS Toolbox is a tool that provides an interface connecting MATLAB® and Simulink® with the Robot Operating System (ROS and ROS 2), enabling you to create a network of ROS nodes. The toolbox includes MATLAB functions and Simulink blocks to import, analyze, and play back ROS data recorded in rosbag files. You can also connect to a live ROS network to access ROS messages.

Robotics Toolbox™ provides a toolbox that brings robotics specific functionality(designing, simulating, and testing manipulators, mobile robots, and humanoid robots) to MATLAB, exploiting the native capabilities of MATLAB (linear algebra, portability, graphics). The toolbox also supports mobile robots with functions for robot motion models (bicycle), path planning algorithms (bug, distance transform, D*, PRM), kinodynamic planning (lattice, RRT), localization (EKF, particle filter), map building (EKF) and simultaneous localization and mapping (EKF), and a Simulink model a of non-holonomic vehicle. The Toolbox also including a detailed Simulink model for a quadrotor flying robot.

Deep Learning Toolbox™ is a tool that provides a framework for designing and implementing deep neural networks with algorithms, pretrained models, and apps. You can use convolutional neural networks (ConvNets, CNNs) and long short-term memory (LSTM) networks to perform classification and regression on image, time-series, and text data. You can build network architectures such as generative adversarial networks (GANs) and Siamese networks using automatic differentiation, custom training loops, and shared weights. With the Deep Network Designer app, you can design, analyze, and train networks graphically. It can exchange models with TensorFlow™ and PyTorch through the ONNX format and import models from TensorFlow-Keras and Caffe. The toolbox supports transfer learning with DarkNet-53, ResNet-50, NASNet, SqueezeNet and many other pretrained models.

Reinforcement Learning Toolbox™ is a tool that provides an app, functions, and a Simulink® block for training policies using reinforcement learning algorithms, including DQN, PPO, SAC, and DDPG. You can use these policies to implement controllers and decision-making algorithms for complex applications such as resource allocation, robotics, and autonomous systems.

Deep Learning HDL Toolbox™ is a tool that provides functions and tools to prototype and implement deep learning networks on FPGAs and SoCs. It provides pre-built bitstreams for running a variety of deep learning networks on supported Xilinx® and Intel® FPGA and SoC devices. Profiling and estimation tools let you customize a deep learning network by exploring design, performance, and resource utilization tradeoffs.

Model Predictive Control Toolbox™ is a tool that provides functions, an app, and Simulink® blocks for designing and simulating controllers using linear and nonlinear model predictive control (MPC). The toolbox lets you specify plant and disturbance models, horizons, constraints, and weights. By running closed-loop simulations, you can evaluate controller performance.

Vision HDL Toolbox™ is a tool that provides pixel-streaming algorithms for the design and implementation of vision systems on FPGAs and ASICs. It provides a design framework that supports a diverse set of interface types, frame sizes, and frame rates. The image processing, video, and computer vision algorithms in the toolbox use an architecture appropriate for HDL implementations.

Microsoft AirSim is a simulator for drones, cars and more, built on Unreal Engine (with an experimental Unity release). AirSim is open-source, cross platform, and supports software-in-the-loop simulation with popular flight controllers such as PX4 & ArduPilot and hardware-in-loop with PX4 for physically and visually realistic simulations. It is developed as an Unreal plugin that can simply be dropped into any Unreal environment. AirSim is being developed as a platform for AI research to experiment with deep learning, computer vision and reinforcement learning algorithms for autonomous vehicles.

Photogrammetry Development

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Photogrammetry Learning Resources

Photogrammetry is the art and science of extracting 3D information from photographs. The process involves taking overlapping photographs of an object, structure, or space, and converting them into 2D or 3D digital models. Photogrammetry is often used by surveyors, architects, engineers, and contractors to create topographic maps, meshes, point clouds, or drawings based on the real-world.

Aerial photogrammetry is process of utilizing aircrafts to produce aerial photography that can be turned into a 3D model or mapped digitally. Now, it is possible to do the same work with a drone.

Terrestrial(Close-range) photogrammetry is when images are captured using a handheld camera or with a camera mounted to a tripod. The output of this method is not to create topographic maps, but rather to make 3D models of a smaller object.

Top Photogrammetry Courses Online | Udemy

Photogrammetry With Drones: In Mapping Technology | Udemy

Introduction to Photogrammetry Course | Coursera

Photogrammetry Online Classes and Training | Linkedin Learning

Pix4D training and certification for mapping professionals

Drone mapping and photogrammetry workshops with Pix4D

Digital Photogrammetric Systems Course | Purdue Online Learning

Photogrammetry Training | Deep3D Photogrammetry

ASPRS Certification Program

Photogrammetry Tools, Libraries, and Frameworks

Autodesk® ReCap™ is a software tool that converts reality captured from laser scans or photos into a 3D model or 2D drawing that's ready to be used in your design built for UAV and drone processes.

Autodesk® ReCap™ Photo is a cloud-connected solution tailored for drone/UAV photo capturing workflows. Using ReCap Photo, you can create textured meshes, point clouds with geolocation, and high-resolution orthographic views with elevation maps.

Pix4D is a unique suite of photogrammetry software for drone mapping. Capture images with our app, process on desktop or cloud and create maps and 3D models.

PIX4Dmapper is the leading photogrammetry software for professional drone mapping.

RealityCapture is a state-of-the-art photogrammetry software solution that creates virtual reality scenes, textured 3D meshes, orthographic projections, geo-referenced maps and much more from images and/or laser scans completely automatically.

Adobe Scantastic is a tool that makes the creation of 3D assets accessible to everyone. It can be used with just a mobile device (combined with Adobe's server-based photogrammetry pipeline), users can easily scan objects in their physical environment and turn them into 3D models which can then be imported into tools like Adobe Dimension and Adobe Aero.

Adobe Aero is a tool that helps you build, view, and share immersive AR experiences. Simply build a scene by bringing in 2D images from Adobe Photoshop and Illustrator, or 3D models from Adobe Dimension, Substance, third-party apps like Cinema 4D, or asset libraries like Adobe Stock and TurboSquid. Aero optimizes a wide array of assets, including OBJ, GLB, and glTF files, for AR, so you can visualize them in real time.

Agisoft Metashape is a stand-alone software product that performs photogrammetric processing of digital images and generates 3D spatial data to be used in GIS applications, cultural heritage documentation, and visual effects production as well as for indirect measurements of objects of various scales.

MicroStation is a CAD software platform for 2D and 3D dimensional design and drafting, developed and sold by Bentley Systems. It generates 2D/3D vector graphics objects and elements and includes building information modeling (BIM) features.

Leica Photogrammetry Suite (LPS) is a powerful photogrammetry system that delivers full analytical triangulation, the generation of digital terrain models, orthophoto production, mosaicking, and 3D feature extraction in a user-friendly environment that guarantees results even for photogrammetry novices.

Terramodel is a powerful software package for the surveyor, civil engineer or contractor who requires a CAD and design package with integrated support for raw survey data.

MicMac is a free and open-source photogrammetry software tools for 3D reconstruction.

[3DF Zephyr] (https://www.3dflow.net/3df-zephyr-photogrammetry-software/) is a photogrammetry software solution by 3Dflow. It allows you automatically reconstruct 3D models from photos and deal with any 3D reconstruction and scanning challenge. No matter what camera sensor, drone or laser scanner device you are going to use.

COLMAP is a general-purpose Structure-from-Motion (SfM) and Multi-View Stereo (MVS) pipeline with a graphical and command-line interface. It offers a wide range of features for reconstruction of ordered and unordered image collections.

Multi-View Environment (MVE) is an effort to ease the work with multi-view datasets and to support the development of algorithms based on multiple views. It features Structure from Motion, Multi-View Stereo and Surface Reconstruction. MVE is developed at the TU Darmstadt.

AliceVision is a Photogrammetric Computer Vision Framework which provides 3D Reconstruction and Camera Tracking algorithms. AliceVision comes up with strong software basis and state-of-the-art computer vision algorithms that can be tested, analyzed and reused.

Meshroom is a free, open-source 3D Reconstruction Software based on the AliceVision framework.

PhotoModeler is a software extracts Measurements and Models from photographs taken with an ordinary camera. A cost-effective way for accurate 2D or 3D measurement, photo-digitizing, surveying, 3D scanning, and reality capture.

ODM is an open source command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images.

WebODM is a user-friendly, commercial grade software for drone image processing. Generate georeferenced maps, point clouds, elevation models and textured 3D models from aerial images. It supports multiple engines for processing, currently ODM and MicMac.

NodeODM is a standard API specification for processing aerial images with engines such as ODM. The API is used by clients such as WebODM, CloudODM and PyODM.

[ClusterODM]https://www.opendronemap.org/clusterodm/) is a reverse proxy, load balancer and task tracker with optional cloud autoscaling capabilities for NodeODM API compatible nodes. In a nutshell, it's a program to link together multiple NodeODM API compatible nodes under a single network address.

FIELDimageR is an R package to analyze orthomosaic images from agricultural field trials.

Regard3D is a free and open source structure-from-motion program. It converts photos of an object, taken from different angles, into a 3D model of this object.

Autodesk Development

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Autodesk Learning Resources

Autodesk is a global leader in design and make technology, with expertise across architecture, engineering, construction, design, manufacturing, and entertainment.

CNC programming (Computer Numerical Control Programming) is utilized by manufacturers to create program instructions for computers to control a machine tool. CNC is highly involved in the manufacturing process and improves automation as well as flexibility.

AutoDesk Learning & Training

Autodesk Certification

Autodesk University

Autodesk Design Academy

Autodesk Customer Success Hub

Software and Services for Education | Autodesk Education

AutoDesk Forums

AutoDesk Developer Network

Learning Civil 3D on Autodesk Knowledge Network

Top Autodesk Courses on Udemy

Top Autodesk Courses on Coursera

Top Autodesk Fusion 360 Courses on Coursera

Autodesk Tools and Frameworks

AutoCAD® is computer-aided design (CAD) software that architects, engineers, and construction professionals rely on to create precise 2D and 3D drawings. It also automates tasks such as comparing drawings, counting, adding blocks, creating schedules.

AutoCAD LT® is a powerful 2D computer-aided design (CAD) software that architects, engineers, construction professionals, and designers rely on to design, draft, and document with precise 2D geometry.

AutoCAD® Mobile App is a mobile(smartphone or tablet) version of AutoCAD that has the core design and drafting tools. Work on your CAD drawings anytime, anywhere—even offline.

AutoCAD® Web App is a web version of AutoCAD that can edit, create, share, and view CAD drawings in a web browser on any computer.

AutoCAD® with Architecture toolset. Source: Autodesk

AutoCAD® with Mechanical toolset. Source: Autodesk

AutoCAD® with Electrical toolset. Source: Autodesk

Tinkercad® is a free, easy-to-use app for 3D design, electronics, and coding. It's used by teachers, kids, hobbyists, and designers to imagine, design, and make anything.

Revit® is a BIM (Building Information Modeling) software to drive efficiency and accuracy across the project lifecycle, from conceptual design, visualization, and analysis to fabrication and construction.

AEC(Architecture, Engineering & Construction) Collection® is a set of BIM and CAD tools for designers, engineers, and contractors that is supported by a cloud-based common data environment that facilitates project delivery from early-stage design through to construction.

Fusion 360® is an integrated CAD, CAM, CAE, and PCB software application. It unifies design, engineering, electronics, and manufacturing into a single software platform.

Autodesk® Fusion 360. Source: Autodesk

Fusion 360 with FeatureCAM® is a tool that gives you access to FeatureCAM Ultimate, PartMaker, Fusion 360, Fusion Team, and HSMWorks. With FeatureCAM CNC programming software uses manufacturing knowledge to intelligently make decisions, produce results, and remove repetitive processes.

Fusion 360 with Netfabb® is a software that offers a complete toolset for design and implementation for additive manufacturing. It streamlines workflows and automates processes around 3D print preparation. The software also includes access to Fusion 360, Fusion 360 Team, and additional capabilities through Fusion 360 Additive Extensions.

Fusion 360 Manage is a product lifecycle management platform that connects your people, processes, and data across departments and geographies. It gives you the flexibility to start today and expand tomorrow with PLM that adapts to your business.

Fusion Team is a cloud-based coll tool that helps eliminate the inefficiencies that disparate tools create when working with your internal and external teams.

Fusion 360 with PowerInspect® is a 3D measurement software offers a powerful way to inspect, validate, and manage quality for all measurement equipment. Now includes access to Fusion 360, Fusion 360 Team, and Fusion 360 – Machining Extension. PowerInspect includes comprehensive inspection tools that measure parts while they’re still in On Machine Verification (OMV). Machine tool probing helps you make informed scrap or rework decisions quickly.

Fusion 360 with PowerMill® CAM is a software provides expert CNC programming strategies for complex 3 and 5-axis manufacturing. This includes access to Fusion 360 and advanced manufacturing capabilities through Fusion 360 extensions.

CNC machining with Fusion 360 with PowerMill® CAM. Source: Autodesk

Fusion 360 with PowerShape® is a manufacturing CAD software combines surface, solid, and mesh modeling to help prepare molds, dies, and other complex parts for manufacture. This includes access to Fusion 360 and Fusion 360 Team.

Autodesk PartMaker® is a software that can produce CNC programs that drive main and sub-spindle machining operations. These can be used for turning, indexed and interpolated C-axis milling, Y-axis, and B-axis milling.

Robot Structural Analysis Professional is a structural load analysis software that verifies code compliance and uses BIM-integrated workflows to exchange data with Revit. It can help you to create more resilient, constructible designs that are accurate, coordinated, and connected to BIM.

Revit LT™ is a software that provides the most cost-effective BIM (Building Information Modeling) solution, you can produce high-quality 3D architectural designs and documentation.

Maya® is a 3D computer animation, modeling, simulation, and rendering software that can create realistic effects from explosions to cloth simulation.

Maya LT™ is a game design software for indie game makers that can create and animate realistic-looking characters, props, and environments using the sophisticated 3D modeling and animation tools.

Autodesk® Maya. Source:Autodesk

3DS Max® is a 3D modeling and rendering software for design visualization, games, and animation.

Autodesk® 3DS Max. Source:Autodesk

Arnold is an advanced Monte Carlo ray tracing(Global illumination) renderer that helps you work more efficiently.

ReCap™ is a Pro 3D scanning software to transform the physical world into a digital asset. With reality capture data you can better understand and verify existing and as-built conditions to gain insights and make better decisions.

Flame® is a 3D VFX and finishing software provides powerful tools for 3D compositing, visual effects, and editorial finishing. An integrated, creative environment means faster compositing, advanced graphics, color correction, and more.

Mudbox® is a 3D digital painting and sculpting software that let's you sculpt and paint highly detailed 3D geometry and textures.

Autodesk® Mudbox. Source:Autodesk

Character Generator® is a powerful 3D design and animation tools, Character Generator offers artists a web-based laboratory to create fully rigged 3D characters for animation packages and game engines.

Smoke® is a video effects software helps production studios increase productivity by combining editing workflows with node-based compositing tools in a timeline-centered editing environment.

ShotGrid formerly Shotgun Software, is software for creative project management software and review tools for film, TV, and games that streamlines workflows for creative studios.

Advance Steel® is a 3D modeling software for steel detailing, design, fabrication, and construction. it connects engineers and detailers through a seamless design and detailing workflow between Advance Steel and Revit, you can reduce the time required to move from design to fabrication while simultaneously reducing errors along the way.

Media & Entertainment Collection® is a collection that includes all of the tools you need to build a powerful and scalable 3D animation pipeline for complex simulations, effects, and rendering.

Civil 3D® is a civil engineering design software supports BIM (Building Information Modeling) with integrated features to improve drafting, design, and construction documentation.

Inventor® is a CAD software that provides professional-grade 3D mechanical design, documentation, and product simulation tools. Work efficiently with a powerful blend of parametric, direct, freeform, and rules-based design capabilities.

Autodesk® Inventor. Source:Autodesk

Inventor® CAM is an integrated CAM software for Inventor that simplifies CNC programming processes. Such as the machining workflow with CAD-embedded 2.5-axis to 5-axis milling, turning, and mill-turn capabilities.

Inventor Nastran® is a CAD-embedded finite element analysis software that delivers finite element analysis (FEA) tools for engineers and analysts. Simulation covers multiple analysis types, such as linear and nonlinear stress, dynamics, and heat transfer.

Inventor® Nesting is a CAD-embedded, true-shape nesting tools for Inventor that helps you optimize yield from flat raw material. Easily compare nesting studies to optimize efficiency and reduce costs, and export 3D models or DXF™ files of the completed nest for cutting path generation.

Inventor Tolerance Analysis® is an CAD-embedded tolerance stackup analysis software that is designed to help Inventor users make more informed decisions while specifying manufacturing tolerances.

Product Design & Manufacturing Collection is an integrated set of professional-grade applications that connect everyone, from concept to production, with shared tools to streamline your product development process.

Navisworks® is a project review software to improve BIM (Building Information Modeling) coordination. That can combine design and construction data into a single model.

Autodesk® Navisworks. Source:Autodesk

BIM Collaborate is cloud-based design collaboration and coordination software that connects AEC teams, helping you execute on design intent and deliver high-quality constructible models on a single platform.

BIM Collaborate Pro is cloud-based design collaboration and coordination software that connects AEC teams, helping you execute on design intent and deliver high-quality constructible models on a single platform.

InfraWorks® is a conceptual design software lets architecture, engineering, and construction professionals model, analyze, and visualize infrastructure design concepts within the context of the built and natural environment—improving decision making and accelerating project approvals.

SketchBook® is a drawing and painting software lets designers, architects, and concept artists sketch ideas quickly and create stunning illustrations.

Alias® is a product design software for sketching, concept modeling, surfacing, visualization. It can create and reuse templates across design and surfacing teams sharing surfacing language.

Assemble BIM Data is a tool that helps keep projects on track. Along with condition and connect BIM data to design reviews, estimating, change management, scheduling, work-in-place tracking, and more.

Autodesk® Forge is a cloud-based developer platform from Autodesk. That let's you access design and engineering data in the cloud with the Forge platform. Whether you want to automate processes, connect teams and workflows, or visualize your data using Forge APIs.

Autodesk® Rendering is a fast, high-resolution cloud rendering software that let's you produce stunning, high-quality renderings from designs and models with cloud rendering. This service uses cloud credits, which is a universal measure across Autodesk consumption-based cloud services to perform certain tasks in the cloud.

Autodesk® CFD is a computational fluid dynamics simulation software that engineers and analysts use to intelligently predict how liquids and gases will perform. It helps to minimize the need for physical prototypes while providing deeper insight into fluid flow design performance.

Autodesk® Drive is a way to securely store, preview, and share your 2D and 3D design data.

Autodesk® Viewer is a tool that supports most 2D and 3D files, including DWG, STEP, DWF, RVT, and Solidworks, and works with over 80 file types on any device. Get the feedback you need with Autodesk Viewer’s annotation and drawing tools for easy online collaboration.

Autodesk BIM 360® is a tool is part of the Autodesk Construction Cloud, connecting workflows, teams, and data to help you build better.

Autodesk® Build is a construction management software for field execution and project management that empowers you to seamlessly collaborate and deliver construction projects on time, on budget.

Autodesk® Takeoff is a tool that helps you work with competitive bids that are generated from accurate estimates produced from integrated 2D takeoffs and 3D quantities.

BuildingConnected is the argest real-time construction network that connects owners and builders through an easy-to-use platform to streamline the bid and risk management process.

Bid Board Pro is a tool that helps you see all bid invites across your entire office or division from one place. Know what needs to get done, who’s responsible for it and when it’s due. Track project files, deadlines and more during each stage of the bidding process.

TradeTapp is a tool that helps you significantly decrease the time it takes to analyze subcontractor risk, annually or for a specific project. Advanced risk profiles enable a streamlined process and offer financial benchmarking, key metric calculations, capacity recommendations and safety performance history.

Design Review is a CAD viewer software lets you view, mark up, print, and track changes to 2D and 3D files for free—without the original design software. Work with a variety of file formats, including: DWF, DWFx, DWG, and DXF (requires installation of free DWG TrueView software); Adobe PDF; as well as image file types such as.bmp, .jpg, .gif, .pcx, .pct, .png, .rlc, .tga, .tif, .mil, .cal, and more.

EAGLE is electronic design automation (EDA) software that lets printed circuit board (PCB) designers seamlessly connect schematic diagrams, component placement, PCB routing, and comprehensive library content.

Fabrication ESTmep™, CADmep™, and CAMduct™ is a software that provides an integrated set of tools for MEP specialty contractors to estimate, detail, and drive fabrication of mechanical building systems. Also, create high LOD models of piping, plumbing, or ductwork systems in AutoCAD using CADmep. Content libraries used in ESTmep, CADmep, and CAMduct can also be used in Revit to support BIM workflows. Available stand-alone or in the Architecture, Engineering & Construction Collection..

Formit is an architectural modeling software for BIM-based 3D sketching. The pro version of FormIt includes the tools in the FormIt app, plus Dynamo computation, and collaboration and analysis features.

Helius Composite is a tool that can help you simulate the material behavior of compound components. Built-in solvers minimize the need to have secondary finite element analysis (FEA) software to analyze material characteristics more quickly.

Helius PFA is a progressive failure analysis software that predicts failure stages of composite materials. Helius PFA enables you to integrate composite and elastomeric material properties into your finite element analysis (FEA) program.

HSMWorks is an ambedded CAM software for SOLIDWORKS® to design and generate CAM toolpaths without the hassle of changing software. Reduce cycle time and rework with CAD-embedded 2.5 to 5-axis milling, turning, and mill-turn capabilities. HSMWorks is included with your Fusion 360 subscription.

Insight is a building performance analysis software that empowers architects and engineers to design more energy-efficient buildings with advanced simulation engines and building performance analysis data integrated in Revit.

Moldflow® is a software tool that lets you troubleshoot problems with plastic injection and compression molding for design and manufacturing. Advanced tools and a simplified user interface help you address manufacturing challenges, such as part warpage, cooling channel efficiency, and cycle time reduction.

MotionBuilder® is a 3D character animation software. Work in an interactive environment optimized to help you work faster and more efficiently without compromising creativity.

PlanGrid Build is a Construction app built for the field. It allows you to complete tasks from anywhere on the jobsite with seamless access to Autodesk Build data, even when you’re offline.

Point Layout is a construction layout software helps contractors and subcontractors bring model accuracy to the field and back. Connect models to layout and quality workflows. Get direct file format compatibility with robotic total station hardware, including Leica, Topcon, and Trimble.

Structural Bridge Design® is a bridge analysis software for small to medium-span bridges used by engineers to deliver design reports faster.

Vault® is a product data management (PDM) software helps streamline workflows. Everyone works from a central source of organized data—collaborating, reducing errors, and saving time.

Vehicle Tracking® is a swept path analysis and design software to facilitate parking lot layout, roundabout design, and other design challenges impacted by vehicle movement.

VRED® is a 3D visualization software helps automotive designers and engineers create product presentations, design reviews, and virtual prototypes using interactive GPU raytracing and both analytic and cloud-rendering modes.

Within Medical® is a 3D printing orthopedic implant design software that enables designers to create medical implants to aid osseointegration.

Pype is a tool that helps you reduce project risk and strengthen client relationships by automating processes that are critical for owner satisfaction and contract compliance.

Pype Closeout is a tool provides a single portal for closeout documentation management, with digital document collection from subcontractors and powerful reporting dashboards. With subcontractor outreach automated, the Closeout platform ensures contract compliance and helps you get paid faster.

Pype SmartPlans is a tool that locates and extracts all submittals from your uploaded plans automatically. Export product, equipment, and finish schedules into excel with a single click. SmartPlans’ powerful automation uses cutting edge artificial intelligence and machine learning to intelligently read your drawings to extract submittals and schedules.

CAMplete is a software tool that provides G-code post-processing, verification, and simulation for different kinds of CNC machinery. Import data from leading CAM software then use proven post-processors and highly accurate 3D machine models, developed in partnership with machine tool builders, to rapidly produce high-quality, collision free NC machining code.

Vault PLM is a tool that combines Vault Professional with Fusion Lifecycle for enterprise-wide collaboration and product lifecycle management.

LiDAR Development

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LiDAR Learning Resources

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Introduction to Lidar Course - NOAA

Lidar 101:An Introduction to Lidar Technology, Data, and Applications(PDF) - NOAA

Understanding LiDAR Technologies - GIS Lounge

LiDAR University Free Lidar Training Courses on MODUS AI

LiDAR | Learning Plan on ERSI

Light Detection and Ranging Sensors Course on Coursera

Quick Introduction to Lidar and Basic Lidar Tools(PDF)

LIDAR - GIS Wiki

OpenStreetMap Wiki

OpenStreetMap Frameworks

LiDAR Tools & Frameworks

Light Detection and Ranging (lidar) is a technology used to create high-resolution models of ground elevation with a vertical accuracy of 10 centimeters (4 inches). Lidar equipment, which includes a laser scanner, a Global Positioning System (GPS), and an Inertial Navigation System (INS), is typically mounted on a small aircraft. The laser scanner transmits brief pulses of light to the ground surface. Those pulses are reflected or scattered back and their travel time is used to calculate the distance between the laser scanner and the ground.  Lidar data is initially collected as a “point cloud” of individual points reflected from everything on the surface, including structures and vegetation. To produce a “bare earth” Digital Elevation Model (DEM), structures and vegetation are stripped away.

3D Data Visualization of Golden Gate Bridge. Source: USGS

Mola is a Modular Optimization framework for Localization and mApping (MOLA).

3D LiDAR SLAM from KITTI dataset. Source: MOLA

Lidar Toolbox™ is a MATLAB tool that provides algorithms, functions, and apps for designing, analyzing, and testing lidar processing systems. You can perform object detection and tracking, semantic segmentation, shape fitting, lidar registration, and obstacle detection. Lidar Toolbox supports lidar-camera cross calibration for workflows that combine computer vision and lidar processing.

3D Autonomous Vehicle Simulation in AirSim. Source: Microsoft

LASer(LAS) is a public file format for the interchange of 3-dimensional point cloud data data between data users. Although developed primarily for exchange of lidar point cloud data, this format supports the exchange of any 3-dimensional x,y,z tuplet. This binary file format is an alternative to proprietary systems or a generic ASCII file interchange system used by many companies. The problem with proprietary systems is obvious in that data cannot be easily taken from one system to another. There are two major problems with the ASCII file interchange. The first problem is performance because the reading and interpretation of ASCII elevation data can be very slow and the file size can be extremely large even for small amounts of data. The second problem is that all information specific to the lidar data is lost. The LAS file format is a binary file format that maintains information specific to the lidar nature of the data while not being overly complex.

3D point cloud is a set of data points defined in a given three-dimensional coordinates system.. Point clouds can be produced directly by 3D scanner which records a large number of points returned from the external surfaces of objects or earth surface. These data are exchanged between LiDAR users mainly through LAS format files (.las).

ArcGIS Desktop is powerful and cost-effective desktop geographic information system (GIS) software. It is the essential software package for GIS professionals. ArcGIS Desktop users can create, analyze, manage, and share geographic information so decision-makers can make intelligent, informed decisions.

USGS 3DEP Lidar Point Cloud Now Available as Amazon Public Dataset

National Geospatial Program

National Map Data Download and Visualization Services

USGS Lidar Base Specification(LBS) online edition

Game Development

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Game Engines

Checkout the Unity Engine

Checkout the Unreal Engine 4

Checkout the CryEngine

Checkout the Godot Engine

If you would like to Donate to the Godot Project

Checkout Blender

If you would like to Donate to the Blender Project

Checkout AWS Lumberyard(based on CryEngine)

Checkout Game Maker Studio 2

Game Development Learning Resources

Unreal Online Learning is a free learning platform that offers hands-on video courses and guided learning paths.

Unreal Engine Authorized Training Program

Unreal Engine for education

Unreal Engine Training & Simulation

Unity Certifications

Autodesk for Games

Getting Started with DirectX 12 Ultimate

Getting Started with Vulkan

Getting Started with Apple Metal

Game Design Online Courses from Udemy

Game Design Online Courses from Skillshare

Learn Game Design with Online Courses and Classes from edX

Game Design Courses from Coursera

Game Design and Development Specialization Course from Coursera

Game Development Tools

Unreal Engine is a game engine developed by Epic Games with the world's most open and advanced real-time 3D creation tool. Continuously evolving to serve not only its original purpose as a state-of-the-art game engine, today it gives creators across industries the freedom and control to deliver cutting-edge content, interactive experiences, and immersive virtual worlds.

Unity is a cross-platform game development platform. Use Unity to build high-quality 3D and 2D games, deploy them across mobile, desktop, VR/AR, consoles or the Web, and connect with loyal and enthusiastic players and customers.

Unigine is a cross-platform game engine designed for development teams (C++/C# programmers, 3D artists) working on interactive 3D apps.

Panda3D is a game engine, a framework for 3D rendering and game development for Python and C++ programs, developed by Disney and CMU. Panda3D is open-source and free for any purpose, including commercial ventures.

Source 2 is a 3D video game engine in development by Valve as a successor to Source. It is used in Dota 2, Artifact, Dota Underlords, parts of The Lab, SteamVR Home, and Half-Life: Alyx.

Havok is a middleware software suite that provides a realistic physics engine component and related functions to video games. It is supported and optimized across all major platforms, including Nintendo Switch, PlayStation®, Stadia, and Xbox. Along with integrations for Unity and Unreal Engine and are used in countless proprietary game engines.

AutoDesk 3ds Max is a professional software program for 3D modeling, animation, rendering, and visualization. 3ds Max allows you to create stunning game environments, design visualizations, and virtual reality experiences.

Houdini is a 3D procedural software for modeling, rigging, animation, VFX, look development, lighting and rendering in film, TV, advertising and video game pipelines.

A-Frame is a web framework for building virtual reality experiences in WebVR with HTML and Entity-Component. A-Frame works on Vive, Rift, desktop, mobile platforms.

AppGameKit is a powerful game development engine, ideal for Hobbyist and Indie developers. Where you can start coding in the easy to learn AppGameKit BASIC or use the libraries in C++ & XCode.

Amazon Lumberyard is an open source, AAA game engine(based on CryEngine) that gives you the tools you need to create high quality games. Deeply integrated with AWS and Twitch, Amazon Lumberyard includes full source code, allowing you to customize your project at any level.

Blender is the free and open source 3D creation suite. It supports the entirety of the 3D pipeline—modeling, rigging, animation, simulation, rendering, compositing and motion tracking, video editing and 2D animation pipeline.

CryEngine is a powerful real-time game development platform created by Crytek.

GameMaker Studio 2 is the latest and greatest incarnation of GameMaker. It has everything you need to take your idea from concept to finished game. With no barriers to entry and powerful functionality, GameMaker Studio 2 is the ultimate 2D development environment.

Godot is a feature-packed, cross-platform game engine to create 2D and 3D games from a unified interface. It provides a comprehensive set of common tools, so that users can focus on making games without having to reinvent the wheel. Games can be exported in one click to a number of platforms, including the major desktop platforms (Linux, Mac OSX, Windows) as well as mobile (Android, iOS) and web-based (HTML5) platforms.

Open Graphics Library(OpenGL) is an API used acrossed mulitple programming languages and platforms for hardware-accelerated rendering of 2D/3D vector graphics currently developed by the Khronos Group.

Open Computing Language (OpenCL) is an open standard for parallel programming of heterogeneous platforms consisting of CPUs, GPUs, and other hardware accelerators found in supercomputers, cloud servers, personal computers, mobile devices and embedded platforms.

OpenGL Shading Language(GLSL) is a High Level Shading Language based on the C-style language, so it covers most of the features a user would expect with such a language. Such as control structures (for-loops, if-else statements, etc) exist in GLSL, including the switch statement.

High Level Shading Language(HLSL) is the High Level Shading Language for DirectX. Using HLSL, the user can create C-like programmable shaders for the Direct3D pipeline. HLSL was first created with DirectX 9 to set up the programmable 3D pipeline.

DirectX 12 Ultimate is an API(for high performance 2D & 3D graphics) from Microsoft. DirectX 12 Ultimate brings support for ray tracing, mesh shaders, variable rate shading, and sampler feedback. Available in Windows 2004 version(May 2020 Update).

Vulkan is a modern cross-platform graphics and compute API that provides high-efficiency, cross-platform access to modern GPUs used in a wide variety of devices from PCs and consoles to mobile phones and embedded platforms. Vulkan is currently in development by the Khronos consortium.

Metal is a low-level GPU programming framework used for rendering 2D and 3D graphics on Apple platforms such as iOS, iPadOS, macOS, watchOS and tvOS.

MoltenVK is an implementation of Vulkan running on iOS and macOS using Apple's Metal graphics framework.

MoltenGL is an implementation of the OpenGL ES 2.0 API that runs on Apple's Metal graphics framework.

Mesa 3D Graphics Library is a project began as an open-source implementation of the OpenGL specification. A system for rendering interactive 3D graphics. Mesa ties into several other open-source projects: the Direct Rendering Infrastructure, X.org, and Wayland to provide OpenGL support on Linux, FreeBSD, and other operating systems.

OpenGL ES is the mobile subset of OpenGL. It's supported on all major mobile platforms, and is also the base for WebGL.

OpenCL is a framework for writing programs that execute across heterogeneous platforms consisting of CPUs, GPUs, DSPs, FPGAs and other processors or hardware accelerators.

EGL is an interface between Khronos rendering APIs such as OpenGL or OpenVG and the underlying native platform window system.

VDPAU is the Video Decode and Presentation API for UNIX. It provides an interface to video decode acceleration and presentation hardware present in modern GPUs.

VA API is an open-source library and API specification, which provides access to graphics hardware acceleration capabilities for video processing.

XvMC is an extension of the X video extension (Xv) for the X Window System. The XvMC API allows video programs to offload portions of the video decoding process to the GPU hardware.

AMD Radeon ProRender is a powerful physically-based rendering engine that enables creative professionals to produce stunningly photorealistic images on virtually any GPU, any CPU, and any OS in over a dozen leading digital content creation and CAD applications.

NVIDIA Omniverse is a powerful, multi-GPU, real-time simulation and collaboration platform for 3D production pipelines based on Pixar's Universal Scene Description and NVIDIA RTX.

LibGDX is a cross-platform Java game development framework based on OpenGL (ES) that works on Windows, Linux, Mac OS X, Android, your WebGL enabled browser and iOS.

cocos2d-x is a multi-platform framework for building 2d games, interactive books, demos and other graphical applications. It is based on cocos2d-iphone, but instead of using Objective-C, it uses C++. It works on iOS, Android, macOS, Windows and Linux.

MonoGame is a framework for creating powerful cross-platform games. The spiritual successor to XNA with thousands of titles shipped across desktop, mobile, and console platforms. MonoGame is a fully managed .NET open source game framework without any black boxes.

Three.js is a cross-browser JavaScript library and application programming interface used to create and display animated 3D computer graphics in a web browser using WebGL.

Superpowers is a downloadable HTML5 app for real-time collaborative projects . You can use it solo like a regular offline game maker, or setup a password and let friends join in on your project through their Web browser.

URHO3D is a free lightweight, cross-platform 2D and 3D game engine implemented in C++ and released under the MIT license. Greatly inspired by OGRE and Horde3D.

Vivox is a voice & text chat platform that's trusted by the world's biggest gaming brands and titles such as Fortnite, PUBG, League of Legends, and Rainbow Six Siege.

HGIG is a volunteer group of companies from the game and TV display industries that meet to specify and make available for the public guidelines to improve consumer gaming experiences in HDR.

GameBlocks is a Server Side Anti-Cheat & Middleware software.

Augmented Reality (AR) & Virtual Reality (VR)

ARKit is a set set of software development tools to enable developers to build augmented-reality apps for iOS developed by Apple. The latest version ARKit 3.5 takes advantage of the new LiDAR Scanner and depth sensing system on iPad Pro(2020) to support a new generation of AR apps that use Scene Geometry for enhanced scene understanding and object occlusion.

RealityKit is a framework to implement high-performance 3D simulation and rendering with information provided by the ARKit framework to seamlessly integrate virtual objects into the real world.

SceneKit is a high-level 3D graphics framework that helps you create 3D animated scenes and effects in your iOS apps.

ARCore is a software development kit developed by Google that allows for augmented reality applications in the real world. These tools include environmental understanding, which allows devices to detect horizontal and vertical surfaces and planes. It also includes motion tracking, which lets phones understand and track their positions relative to the world. Also ARCore’s Light Estimation API lets your digital objects appear realistically as if they’re actually part of the physical world.

Microsoft HoloLens Headset. Source: Microsoft

PlayStation VR Headset. Source: PlayStation

SteamVR is the ultimate tool for experiencing VR content on the hardware of your choice. SteamVR supports the Valve Index, HTC Vive, Oculus Rift, Windows Mixed Reality headsets, and others.

SteamVR Home

Valve Index VR Headset. Source: [Steam](https://store.steampowered.com/valveindex)

OpenVR is an API and runtime that allows access to VR hardware(Steam Index, HTC Vive, and Oculus Rift) from multiple vendors without requiring that applications have specific knowledge of the hardware they are targeting.

OpenVR Benchmark on Steam is the first benchmark tool for reproducibly testing your real VR performance, rendering inside of your VR headset.

OpenHMD is open source API and drivers that supports a wide range of HMD(head-mounted display) devices such as Oculus Rift, HTC Vive, Sony PSVR, and others.

openXR is a free, open standard that provides high-performance access to Augmented Reality (AR) and Virtual Reality (VR) collectively known as XR—platforms and devices.

Monado is the first OpenXR™ runtime for GNU/Linux. Monado aims to jump-start development of an open source XR ecosystem and provide the fundamental building blocks for device vendors to target the GNU/Linux platform.

Libsurvive is a set of tools and libraries that enable 6 dof tracking on lighthouse and vive based systems that is completely open source and can run on any device. It currently supports both SteamVR 1.0 and SteamVR 2.0 generation of devices and should support any tracked object commercially available.

Simula is a VR window manager for Linux that runs on top of Godot. It takes less than 1 minute to install. Simula is officially compatible with SteamVR headsets equipped with Linux drivers (e.g. HTC Vive, HTC Vive Pro, & Valve Index). We have also added experimental support to OpenXR headsets that have Monado drivers (e.g. North Star, OSVR HDK, and PSVR). Some people have gotten the Oculus Rift S to run Simula via OpenHMD (see here).

Robotics Development

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Robotic Arms & Dev Kits

Eva is a 6-axis of freedom and ease of use, the lab robot arm easily automates the loading and unloading of samples into lab machines, precision balances and more. Eva can handle a range of common lab items including microplates, PCR tube strips, eppendorf tubes, petri dishes and microscope slides to automating repetitive and strenuous sample handling processes. Common manufacturing machine tending applications with Eva include start/end of line loading and unloading of machines such as CNC machines, CMMs, metal presses and chemical etching machines.

Eva lab robot arm from Automata. Source: Automata

AWS DeepRacer autonomous Car Kit

Checkout the AWS DeepRacer autonomous Car Kit

AWS DeepRacer autonomous Car Kit Hardware Specifications

CAR: 18th scale 4WD with monster truck chassis
CPU: Intel Atom™ Processor
MEMORY: 4GB RAM
STORAGE: 32GB (expandable)
WI-FI: 802.11ac
CAMERA: 4 MP cameras with MJPEG
SOFTWARE: Ubuntu OS 16.04 LTS, Intel® OpenVINO™ toolkit, ROS Kinetic
DRIVE BATTERY: 7.4V/1100mAh lithium polymer
COMPUTE BATTERY: 13600mAh USB-C PD
PORTS: 4x USB-A, 1x USB-C, 1x Micro-USB, 1x HDMI
SENSORS: Integrated accelerometer and gyroscope

Checkout the SunFounder PiCar-V Kit V2.0 for Raspberry Pi

Robotics Learning Resources

Robotics courses from Coursera

Learn Robotics with Online Courses and Classes from edX

Top Robotics Courses Online from Udemy

Free Online AI & Robotics Courses

REC Foundation Robotics Industry Certification

Carnegie Mellon Robotics Academy

RIA Robotic Integrator Certification Program

AWS RoboMaker – Develop, Test, Deploy, and Manage Intelligent Robotics Apps

Microsoft AI School

Language Understanding (LUIS) for Azure Cognitive Services

ROS on Windows 10

Windows ML ROS Node

Azure VM templates to bootstrap ROS and ROS 2 environments

Google Robotics Research

Robotics Tools and Frameworks

Robot Framework is a generic open source automation framework. It can be used for test automation and robotic process automation. It has easy syntax, utilizing human-readable keywords. Its capabilities can be extended by libraries implemented with Python or Java.

The Robotics Library (RL) is a self-contained C++ library for robot kinematics, motion planning and control. It covers mathematics, kinematics and dynamics, hardware abstraction, motion planning, collision detection, and visualization.RL runs on many different systems, including Linux, macOS, and Windows. It uses CMake as a build system and can be compiled with Clang, GCC, and Visual Studio.

Robot Structural Analysis Professional is structural load analysis software developed by Autodesk that verifies code compliance and uses BIM-integrated workflows to exchange data with Revit. It can help you to create more resilient, constructible designs that are accurate, coordinated, and connected to BIM.

PowerMill is a software developed by Autodesk that provides powerful, flexible, easy-to-use tools for offline programming of robots. Get tools to help you optimize robotic paths and simulate virtual mock-ups of manufacturing cells and systems.

ROS is robotics middleware. Although ROS is not an operating system, it provides services designed for a heterogeneous computer cluster such as hardware abstraction, low-level device control, implementation of commonly used functionality, message-passing between processes, and package management.

ROS2 is a set of software libraries and tools that help you build robot applications. From drivers to state-of-the-art algorithms, and with powerful developer tools, ROS has what you need for your next robotics project. And it’s all open source.

MoveIt is the most widely used software for manipulation and has been used on over 100 robots. It provides an easy-to-use robotics platform for developing advanced applications, evaluating new designs and building integrated products for industrial, commercial, R&D, and other domains.

AutoGluon is toolkit for Deep learning that automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just a few lines of code, you can train and deploy high-accuracy deep learning models on tabular, image, and text data.

Gazebo accurately and efficiently simulates indoor and outdoor robots. You get a robust physics engine, high-quality graphics, and programmatic and graphical interfaces.

Robotics System Toolbox provides tools and algorithms for designing, simulating, and testing manipulators, mobile robots, and humanoid robots. For manipulators and humanoid robots, the toolbox includes algorithms for collision checking, trajectory generation, forward and inverse kinematics, and dynamics using a rigid body tree representation. For mobile robots, it includes algorithms for mapping, localization, path planning, path following, and motion control. The toolbox provides reference examples of common industrial robot applications. It also includes a library of commercially available industrial robot models that you can import, visualize, and simulate.

Intel Robot DevKit is the tool to generate Robotics Software Development Kit (RDK) designed for autonomous devices, including the ROS2 core and capacibilities packages like perception, planning, control driver etc. It provides flexible build/runtime configurations to meet different autonomous requirement on top of diversity hardware choices, for example use different hareware engine CPU/GPU/VPU to accelerate AI related features.

Arduino is an open-source platform used for building electronics projects. Arduino consists of both a physical programmable circuit board (often referred to as a microcontroller) and a piece of software, or IDE (Integrated Development Environment) that runs on your computer, used to write and upload computer code to the physical board.

ArduPilot enables the creation and use of trusted, autonomous, unmanned vehicle systems for the peaceful benefit of all. ArduPilot provides a comprehensive suite of tools suitable for almost any vehicle and application.

AirSim is a simulator for drones, cars and more, built on Unreal Engine (we now also have an experimental Unity release). It is open-source, cross platform, and supports hardware-in-loop with popular flight controllers such as PX4 for physically and visually realistic simulations.

The JPL Open Source Rover is an open source, build it yourself, scaled down version of the 6 wheel rover design that JPL uses to explore the surface of Mars. The Open Source Rover is designed almost entirely out of consumer off the shelf (COTS) parts. This project is intended to be a teaching and learning experience for those who want to get involved in mechanical engineering, software, electronics, or robotics.

Light Detection and Ranging(LiDAR) is a remote sensing method that uses light in the form of a pulsed laser at an object, and uses the time and wavelength of the reflected beam of light to estimate the distance and in some applications (Laser Imaging), to create a 3D representation of the object and its surface characteristics. This technology is commonly used in aircraft and self-driving vehicles.

AliceVision is a Photogrammetric Computer Vision Framework which provides a 3D Reconstruction and Camera Tracking algorithms. AliceVision aims to provide strong software basis with state-of-the-art computer vision algorithms that can be tested, analyzed and reused. The project is a result of collaboration between academia and industry to provide cutting-edge algorithms with the robustness and the quality required for production usage.

CARLA is an open-source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. The simulation platform supports flexible specification of sensor suites and environmental conditions.

ROS bridge is a package to bridge ROS for CARLA Simulator.

ROS-Industrial is an open source project that extends the advanced capabilities of ROS software to manufacturing.

AWS RoboMaker is the most complete cloud solution for robotic developers to simulate, test and securely deploy robotic applications at scale. RoboMaker provides a fully-managed, scalable infrastructure for simulation that customers use for multi-robot simulation and CI/CD integration with regression testing in simulation.

Microsoft Robotics Developer Studio is a free .NET-based programming environment for building robotics applications.

Visual Studio Code Extension for ROS is an extension provides support for Robot Operating System (ROS) development.

Azure Kinect ROS Driver is a node which publishes sensor data from the Azure Kinect Developer Kit to the Robot Operating System (ROS). Developers working with ROS can use this node to connect an Azure Kinect Developer Kit to an existing ROS installation.

Azure IoT Hub for ROS is a ROS package works with the Microsoft Azure IoT Hub service to relay telemetry messages from the Robot to Azure IoT Hub or reflect properties from the Digital Twin to the robot using dynamic reconfigure.

ROS 2 with ONNX Runtime is a program that uses ROS 2 to run on different hardware platforms using their respective AI acceleration libraries for optimized execution of the ONNX model.

Azure Cognitive Services LUIS ROS Node is a ROS node that bridges between ROS and the Azure Language Understanding Service. it can be configured to process audio directly from a microphone, or can subscribe to a ROS audio topic, then processes speech and generates "intent" ROS messages which can be processed by another ROS node to generate ROS commands.

Linear Algebra

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Linear Algebra Learning Resources

Linear algebra is the math of vectors and matrices. The only prerequisite for this guide is a basic understanding of high school math concepts like numbers, variables, equations, and the fundamental arithmetic operations on real numbers: addition (denoted +), subtraction (denoted −), multiplication (denoted implicitly), and division (fractions). Also, you should also be familiar with functions that take real numbers as inputs and give real numbers as outputs, f : R → R.

Linear Algebra - Online Courses | Harvard University

Linear Algebra | MIT Open Learning Library

Linear Algebra - Khan Academy

Top Linear Algebra Courses on Coursera

Mathematics for Machine Learning: Linear Algebra on Coursera

Top Linear Algebra Courses on Udemy

Learn Linear Algebra with Online Courses and Classes on edX

The Math of Data Science: Linear Algebra Course on edX

Linear Algebra in Twenty Five Lectures | UC Davis

Linear Algebra | UC San Diego Extension

Linear Algebra for Machine Learning | UC San Diego Extension

Introduction to Linear Algebra, Interactive Online Video | Wolfram

Linear Algebra Resources | Dartmouth

Defintions

i. Vector operations

We now define the math operations for vectors. The operations we can perform on vectors ~u = (u1, u2, u3) and ~v = (v1, v2, v3) are: addition, subtraction, scaling, norm (length), dot product, and cross product:

The dot product and the cross product of two vectors can also be described in terms of the angle θ between the two vectors.

Vector Operations. Source: slideserve

Vector Operations. Source: pinterest

ii. Matrix operations

We denote by A the matrix as a whole and refer to its entries as aij .The mathematical operations defined for matrices are the following:

• determinant (denoted det(A) or |A|) Note that the matrix product is not a commutative operation.

Matrix Operations. Source: SDSU Physics

Check for modules that allow Matrix Operations. Source: DPS Concepts

iii. Matrix-vector product

The matrix-vector product is an important special case of the matrix product.

There are two fundamentally different yet equivalent ways to interpret the matrix-vector product. In the column picture, (C), the multiplication of the matrix A by the vector ~x produces a linear combination of the columns of the matrix: ~~y = A~~x = x1A[:,1] + x2A[:,2], where A[:,1] and A[:,2] are the first and second columns of the matrix A. In the row picture, (R), multiplication of the matrix A by the vector ~x produces a column vector with coefficients equal to the dot products of rows of the matrix with the vector ~x.

Matrix-vector product. Source: wikimedia

Matrix-vector Product. Source: mathisfun

iv. Linear transformations

The matrix-vector product is used to define the notion of a linear transformation, which is one of the key notions in the study of linear algebra. Multiplication by a matrix A ∈ R m×n can be thought of as computing a linear transformation TA that takes n-vectors as inputs and produces m-vectors as outputs:

Linear Transformations. Source: slideserve

Elementary matrices for linear transformations in R^2. Source:Quora

v. Fundamental vector spaces

Fundamental theorem of linear algebra for Vector Spaces. Source: wikimedia

Fundamental theorem of linear algebra. Source: wolfram

Computational Linear Algebra

i. Solving systems of equations

System of Linear Equations by Graphing. Source: slideshare

ii. Systems of equations as matrix equations

Systems of equations as matrix equations. Source: mathisfun

Computing the Inverse of a Matrix

In this section we’ll look at several different approaches for computing the inverse of a matrix. The matrix inverse is unique so no matter which method we use to find the inverse, we’ll always obtain the same answer.

Inverse of 2x2 Matrix. Source: pinterest

i. Using row operations

One approach for computing the inverse is to use the Gauss–Jordan elimination procedure.

Elementray row operations. Source: YouTube

ii. Using elementary matrices

Every row operation we perform on a matrix is equivalent to a leftmultiplication by an elementary matrix.

Elementary Matrices. Source: SDSU Physics

iii. Transpose of a Matrix

Finding the inverse of a matrix is to use the Transpose method.

Transpose of a Matrix. Source: slideserve

Algorithms

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Fuzzy logic is a heuristic approach that allows for more advanced decision-tree processing and better integration with rules-based programming.

Architecture of a Fuzzy Logic System. Source: ResearchGate

Support Vector Machine (SVM) is a supervised machine learning model that uses classification algorithms for two-group classification problems.

Support Vector Machine (SVM). Source:OpenClipArt

Neural networks are a subset of machine learning and are at the heart of deep learning algorithms. The name/structure is inspired by the human brain copying the process that biological neurons/nodes signal to one another.

Deep neural network. Source: IBM

Convolutional Neural Networks (R-CNN) is an object detection algorithm that first segments the image to find potential relevant bounding boxes and then run the detection algorithm to find most probable objects in those bounding boxes.

Convolutional Neural Networks. Source:CS231n

Recurrent neural networks (RNNs) is a type of artificial neural network which uses sequential data or time series data.

Recurrent Neural Networks. Source: Slideteam

Multilayer Perceptrons (MLPs) is multi-layer neural networks composed of multiple layers of perceptrons with a threshold activation.

Multilayer Perceptrons. Source: DeepAI

Random forest is a commonly-used machine learning algorithm, which combines the output of multiple decision trees to reach a single result. A decision tree in a forest cannot be pruned for sampling and therefore, prediction selection. Its ease of use and flexibility have fueled its adoption, as it handles both classification and regression problems.

Random forest. Source: wikimedia

Decision trees are tree-structured models for classification and regression.

**Decision Trees. Source: CMU

Naive Bayes is a machine learning algorithm that is used solved calssification problems. It's based on applying Bayes' theorem with strong independence assumptions between the features.

Bayes' theorem. Source:mathisfun

Machine Learning

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Machine Learning/Deep Learning Frameworks.

Learning Resources for ML

Machine Learning is a branch of artificial intelligence (AI) focused on building apps using algorithms that learn from data models and improve their accuracy over time without needing to be programmed.

Machine Learning by Stanford University from Coursera

AWS Training and Certification for Machine Learning (ML) Courses

Machine Learning Scholarship Program for Microsoft Azure from Udacity

Microsoft Certified: Azure Data Scientist Associate

Microsoft Certified: Azure AI Engineer Associate

Azure Machine Learning training and deployment

Learning Machine learning and artificial intelligence from Google Cloud Training

Machine Learning Crash Course for Google Cloud

JupyterLab

Scheduling Jupyter notebooks on Amazon SageMaker ephemeral instances

How to run Jupyter Notebooks in your Azure Machine Learning workspace

Machine Learning Courses Online from Udemy

Machine Learning Courses Online from Coursera

Learn Machine Learning with Online Courses and Classes from edX

ML Frameworks, Libraries, and Tools

TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.

Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano.It was developed with a focus on enabling fast experimentation. It is capable of running on top of TensorFlow, Microsoft Cognitive Toolkit, R, Theano, or PlaidML.

PyTorch is a library for deep learning on irregular input data such as graphs, point clouds, and manifolds. Primarily developed by Facebook's AI Research lab.

Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models.

Azure Databricks is a fast and collaborative Apache Spark-based big data analytics service designed for data science and data engineering. Azure Databricks, sets up your Apache Spark environment in minutes, autoscale, and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch, and scikit-learn.

Apple CoreML is a framework that helps integrate machine learning models into your app. Core ML provides a unified representation for all models. Your app uses Core ML APIs and user data to make predictions, and to train or fine-tune models, all on the user's device. A model is the result of applying a machine learning algorithm to a set of training data. You use a model to make predictions based on new input data.

Tensorflow_macOS is a Mac-optimized version of TensorFlow and TensorFlow Addons for macOS 11.0+ accelerated using Apple's ML Compute framework.

Apache OpenNLP is an open-source library for a machine learning based toolkit used in the processing of natural language text. It features an API for use cases like Named Entity Recognition, Sentence Detection, POS(Part-Of-Speech) tagging, Tokenization Feature extraction, Chunking, Parsing, and Coreference resolution.

Apache Airflow is an open-source workflow management platform created by the community to programmatically author, schedule and monitor workflows. Install. Principles. Scalable. Airflow has a modular architecture and uses a message queue to orchestrate an arbitrary number of workers. Airflow is ready to scale to infinity.

Open Neural Network Exchange(ONNX) is an open ecosystem that empowers AI developers to choose the right tools as their project evolves. ONNX provides an open source format for AI models, both deep learning and traditional ML. It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types.

Apache MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly. A graph optimization layer on top of that makes symbolic execution fast and memory efficient. MXNet is portable and lightweight, scaling effectively to multiple GPUs and multiple machines. Support for Python, R, Julia, Scala, Go, Javascript and more.

Anaconda is a very popular Data Science platform for machine learning and deep learning that enables users to develop models, train them, and deploy them.

PlaidML is an advanced and portable tensor compiler for enabling deep learning on laptops, embedded devices, or other devices where the available computing hardware is not well supported or the available software stack contains unpalatable license restrictions.

OpenCV is a highly optimized library with focus on real-time computer vision applications. The C++, Python, and Java interfaces support Linux, MacOS, Windows, iOS, and Android.

Weka is an open source machine learning software that can be accessed through a graphical user interface, standard terminal applications, or a Java API. It is widely used for teaching, research, and industrial applications, contains a plethora of built-in tools for standard machine learning tasks, and additionally gives transparent access to well-known toolboxes such as scikit-learn, R, and Deeplearning4j.

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and community contributors.

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently including tight integration with NumPy.

nGraph is an open source C++ library, compiler and runtime for Deep Learning. The nGraph Compiler aims to accelerate developing AI workloads using any deep learning framework and deploying to a variety of hardware targets.It provides the freedom, performance, and ease-of-use to AI developers.

Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Jupyter is used widely in industries that do data cleaning and transformation, numerical simulation, statistical modeling, data visualization, data science, and machine learning.

Apache Spark is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing.

Apache Spark Connector for SQL Server and Azure SQL is a high-performance connector that enables you to use transactional data in big data analytics and persists results for ad-hoc queries or reporting. The connector allows you to use any SQL database, on-premises or in the cloud, as an input data source or output data sink for Spark jobs.

Apache PredictionIO is an open source machine learning framework for developers, data scientists, and end users. It supports event collection, deployment of algorithms, evaluation, querying predictive results via REST APIs. It is based on scalable open source services like Hadoop, HBase (and other DBs), Elasticsearch, Spark and implements what is called a Lambda Architecture.

Cluster Manager for Apache Kafka(CMAK) is a tool for managing Apache Kafka clusters.

BigDL is a distributed deep learning library for Apache Spark. With BigDL, users can write their deep learning applications as standard Spark programs, which can directly run on top of existing Spark or Hadoop clusters.

Eclipse Deeplearning4J (DL4J) is a set of projects intended to support all the needs of a JVM-based(Scala, Kotlin, Clojure, and Groovy) deep learning application. This means starting with the raw data, loading and preprocessing it from wherever and whatever format it is in to building and tuning a wide variety of simple and complex deep learning networks.

Tensorman is a utility for easy management of Tensorflow containers by developed by System76.Tensorman allows Tensorflow to operate in an isolated environment that is contained from the rest of the system. This virtual environment can operate independent of the base system, allowing you to use any version of Tensorflow on any version of a Linux distribution that supports the Docker runtime.

Numba is an open source, NumPy-aware optimizing compiler for Python sponsored by Anaconda, Inc. It uses the LLVM compiler project to generate machine code from Python syntax. Numba can compile a large subset of numerically-focused Python, including many NumPy functions. Additionally, Numba has support for automatic parallelization of loops, generation of GPU-accelerated code, and creation of ufuncs and C callbacks.

Chainer is a Python-based deep learning framework aiming at flexibility. It provides automatic differentiation APIs based on the define-by-run approach (dynamic computational graphs) as well as object-oriented high-level APIs to build and train neural networks. It also supports CUDA/cuDNN using CuPy for high performance training and inference.

XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable. It implements machine learning algorithms under the Gradient Boosting framework. XGBoost provides a parallel tree boosting (also known as GBDT, GBM) that solve many data science problems in a fast and accurate way. It supports distributed training on multiple machines, including AWS, GCE, Azure, and Yarn clusters. Also, it can be integrated with Flink, Spark and other cloud dataflow systems.

cuML is a suite of libraries that implement machine learning algorithms and mathematical primitives functions that share compatible APIs with other RAPIDS projects. cuML enables data scientists, researchers, and software engineers to run traditional tabular ML tasks on GPUs without going into the details of CUDA programming. In most cases, cuML's Python API matches the API from scikit-learn.

CUDA Development

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CUDA Toolkit. Source: NVIDIA Developer CUDA

CUDA Learning Resources

CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs. In GPU-accelerated applications, the sequential part of the workload runs on the CPU, which is optimized for single-threaded. The compute intensive portion of the application runs on thousands of GPU cores in parallel. When using CUDA, developers can program in popular languages such as C, C++, Fortran, Python and MATLAB.

CUDA Toolkit Documentation

CUDA Quick Start Guide

CUDA on WSL

CUDA GPU support for TensorFlow

NVIDIA Deep Learning cuDNN Documentation

NVIDIA GPU Cloud Documentation

NVIDIA NGC is a hub for GPU-optimized software for deep learning, machine learning, and high-performance computing (HPC) workloads.

NVIDIA NGC Containers is a registry that provides researchers, data scientists, and developers with simple access to a comprehensive catalog of GPU-accelerated software for AI, machine learning and HPC. These containers take full advantage of NVIDIA GPUs on-premises and in the cloud.

CUDA Tools Libraries, and Frameworks

CUDA Toolkit is a collection of tools & libraries that provide a development environment for creating high performance GPU-accelerated applications. The CUDA Toolkit allows you can develop, optimize, and deploy your applications on GPU-accelerated embedded systems, desktop workstations, enterprise data centers, cloud-based platforms and HPC supercomputers. The toolkit includes GPU-accelerated libraries, debugging and optimization tools, a C/C++ compiler, and a runtime library to build and deploy your application on major architectures including x86, Arm and POWER.

CUDA-X HPC is a collection of libraries, tools, compilers and APIs that help developers solve the world's most challenging problems. CUDA-X HPC includes highly tuned kernels essential for high-performance computing (HPC).

NVIDIA Container Toolkit is a collection of tools & libraries that allows users to build and run GPU accelerated Docker containers. The toolkit includes a container runtime library and utilities to automatically configure containers to leverage NVIDIA GPUs.

Minkowski Engine is an auto-differentiation library for sparse tensors. It supports all standard neural network layers such as convolution, pooling, unpooling, and broadcasting operations for sparse tensors.

CUTLASS is a collection of CUDA C++ template abstractions for implementing high-performance matrix-multiplication (GEMM) at all levels and scales within CUDA. It incorporates strategies for hierarchical decomposition and data movement similar to those used to implement cuBLAS.

CUB is a cooperative primitives for CUDA C++ kernel authors.

CuPy is an implementation of NumPy-compatible multi-dimensional array on CUDA. CuPy consists of the core multi-dimensional array class, cupy.ndarray, and many functions on it. It supports a subset of numpy.ndarray interface.

CatBoost is a fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

cuDF is a GPU DataFrame library for loading, joining, aggregating, filtering, and otherwise manipulating data. cuDF provides a pandas-like API that will be familiar to data engineers & data scientists, so they can use it to easily accelerate their workflows without going into the details of CUDA programming.

ArrayFire is a general-purpose library that simplifies the process of developing software that targets parallel and massively-parallel architectures including CPUs, GPUs, and other hardware acceleration devices.

AresDB is a GPU-powered real-time analytics storage and query engine. It features low query latency, high data freshness and highly efficient in-memory and on disk storage management.

Arraymancer is a tensor (N-dimensional array) project in Nim. The main focus is providing a fast and ergonomic CPU, Cuda and OpenCL ndarray library on which to build a scientific computing ecosystem.

Kintinuous is a real-time dense visual SLAM system capable of producing high quality globally consistent point and mesh reconstructions over hundreds of metres in real-time with only a low-cost commodity RGB-D sensor.

GraphVite is a general graph embedding engine, dedicated to high-speed and large-scale embedding learning in various applications.

MATLAB Development

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MATLAB Learning Resources

MATLAB is a programming language that does numerical computing such as expressing matrix and array mathematics directly.

MATLAB Documentation

Getting Started with MATLAB

MATLAB and Simulink Training from MATLAB Academy

MathWorks Certification Program

MATLAB Online Courses from Udemy

MATLAB Online Courses from Coursera

MATLAB Online Courses from edX

Building a MATLAB GUI

MATLAB Style Guidelines 2.0

Setting Up Git Source Control with MATLAB & Simulink

Pull, Push and Fetch Files with Git with MATLAB & Simulink

Create New Repository with MATLAB & Simulink

PRMLT is Matlab code for machine learning algorithms in the PRML book.

MATLAB Tools, Libraries, Frameworks

MATLAB and Simulink Services & Applications List

MATLAB in the Cloud is a service that allows you to run in cloud environments from MathWorks Cloud to Public Clouds including AWS and Azure.

MATLAB Online™ is a service that allows to users to uilitize MATLAB and Simulink through a web browser such as Google Chrome.

Simulink is a block diagram environment for Model-Based Design. It supports simulation, automatic code generation, and continuous testing of embedded systems.

Simulink Online™ is a service that provides access to Simulink through your web browser.

MATLAB Drive™ is a service that gives you the ability to store, access, and work with your files from anywhere.

MATLAB Parallel Server™ is a tool that lets you scale MATLAB® programs and Simulink® simulations to clusters and clouds. You can prototype your programs and simulations on the desktop and then run them on clusters and clouds without recoding. MATLAB Parallel Server supports batch jobs, interactive parallel computations, and distributed computations with large matrices.

MATLAB Schemer is a MATLAB package makes it easy to change the color scheme (theme) of the MATLAB display and GUI.

SoC Blockset™ is a tool that provides Simulink® blocks and visualization tools for modeling, simulating, and analyzing hardware and software architectures for ASICs, FPGAs, and systems on a chip (SoC). You can build your system architecture using memory models, bus models, and I/O models, and simulate the architecture together with the algorithms.

Wireless HDL Toolbox™ is a tool that provides pre-verified, hardware-ready Simulink® blocks and subsystems for developing 5G, LTE, and custom OFDM-based wireless communication applications. It includes reference applications, IP blocks, and gateways between frame and sample-based processing.

ThingSpeak™ is an IoT analytics service that allows you to aggregate, visualize, and analyze live data streams in the cloud. ThingSpeak provides instant visualizations of data posted by your devices to ThingSpeak. With the ability to execute MATLAB® code in ThingSpeak, you can perform online analysis and process data as it comes in. ThingSpeak is often used for prototyping and proof-of-concept IoT systems that require analytics.

SEA-MAT is a collaborative effort to organize and distribute Matlab tools for the Oceanographic Community.

Gramm is a complete data visualization toolbox for Matlab. It provides an easy to use and high-level interface to produce publication-quality plots of complex data with varied statistical visualizations. Gramm is inspired by R's ggplot2 library.

hctsa is a software package for running highly comparative time-series analysis using Matlab.

Plotly is a Graphing Library for MATLAB.

YALMIP is a MATLAB toolbox for optimization modeling.

GNU Octave is a high-level interpreted language, primarily intended for numerical computations. It provides capabilities for the numerical solution of linear and nonlinear problems, and for performing other numerical experiments. It also provides extensive graphics capabilities for data visualization and manipulation.

C/C++ Development

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C/C++ Learning Resources

C++ is a cross-platform language that can be used to build high-performance applications developed by Bjarne Stroustrup, as an extension to the C language.

C is a general-purpose, high-level language that was originally developed by Dennis M. Ritchie to develop the UNIX operating system at Bell Labs. It supports structured programming, lexical variable scope, and recursion, with a static type system. C also provides constructs that map efficiently to typical machine instructions, which makes it one was of the most widely used programming languages today.

Embedded C is a set of language extensions for the C programming language by the C Standards Committee to address issues that exist between C extensions for different embedded systems. The extensions hep enhance microprocessor features such as fixed-point arithmetic, multiple distinct memory banks, and basic I/O operations. This makes Embedded C the most popular embedded software language in the world.

C & C++ Developer Tools from JetBrains

Open source C++ libraries on cppreference.com

C++ Graphics libraries

C++ Libraries in MATLAB

C++ Tools and Libraries Articles

Google C++ Style Guide

Introduction C++ Education course on Google Developers

C++ style guide for Fuchsia

C and C++ Coding Style Guide by OpenTitan

Chromium C++ Style Guide

C++ Core Guidelines

C++ Style Guide for ROS

Learn C++

Learn C : An Interactive C Tutorial

C++ Institute

C++ Online Training Courses on LinkedIn Learning

C++ Tutorials on W3Schools

Learn C Programming Online Courses on edX

Learn C++ with Online Courses on edX

Learn C++ on Codecademy

Coding for Everyone: C and C++ course on Coursera

C++ For C Programmers on Coursera

Top C Courses on Coursera

C++ Online Courses on Udemy

Top C Courses on Udemy

Basics of Embedded C Programming for Beginners on Udemy

C++ For Programmers Course on Udacity

C++ Fundamentals Course on Pluralsight

Introduction to C++ on MIT Free Online Course Materials

Introduction to C++ for Programmers | Harvard

Online C Courses | Harvard University

C/C++ Tools and Frameworks

AWS SDK for C++

Azure SDK for C++

Azure SDK for C

C++ Client Libraries for Google Cloud Services

Visual Studio is an integrated development environment (IDE) from Microsoft; which is a feature-rich application that can be used for many aspects of software development. Visual Studio makes it easy to edit, debug, build, and publish your app. By using Microsoft software development platforms such as Windows API, Windows Forms, Windows Presentation Foundation, and Windows Store.

Visual Studio Code is a code editor redefined and optimized for building and debugging modern web and cloud applications.

Vcpkg is a C++ Library Manager for Windows, Linux, and MacOS.

ReSharper C++ is a Visual Studio Extension for C++ developers developed by JetBrains.

AppCode is constantly monitoring the quality of your code. It warns you of errors and smells and suggests quick-fixes to resolve them automatically. AppCode provides lots of code inspections for Objective-C, Swift, C/C++, and a number of code inspections for other supported languages. All code inspections are run on the fly.

CLion is a cross-platform IDE for C and C++ developers developed by JetBrains.

Code::Blocks is a free C/C++ and Fortran IDE built to meet the most demanding needs of its users. It is designed to be very extensible and fully configurable. Built around a plugin framework, Code::Blocks can be extended with plugins.

CppSharp is a tool and set of libraries which facilitates the usage of native C/C++ code with the .NET ecosystem. It consumes C/C++ header and library files and generates the necessary glue code to surface the native API as a managed API. Such an API can be used to consume an existing native library in your managed code or add managed scripting support to a native codebase.

Conan is an Open Source Package Manager for C++ development and dependency management into the 21st century and on par with the other development ecosystems.

High Performance Computing (HPC) SDK is a comprehensive toolbox for GPU accelerating HPC modeling and simulation applications. It includes the C, C++, and Fortran compilers, libraries, and analysis tools necessary for developing HPC applications on the NVIDIA platform.

Thrust is a C++ parallel programming library which resembles the C++ Standard Library. Thrust's high-level interface greatly enhances programmer productivity while enabling performance portability between GPUs and multicore CPUs. Interoperability with established technologies such as CUDA, TBB, and OpenMP integrates with existing software.

Boost is an educational opportunity focused on cutting-edge C++. Boost has been a participant in the annual Google Summer of Code since 2007, in which students develop their skills by working on Boost Library development.

Automake is a tool for automatically generating Makefile.in files compliant with the GNU Coding Standards. Automake requires the use of GNU Autoconf.

Cmake is an open-source, cross-platform family of tools designed to build, test and package software. CMake is used to control the software compilation process using simple platform and compiler independent configuration files, and generate native makefiles and workspaces that can be used in the compiler environment of your choice.

GDB is a debugger, that allows you to see what is going on `inside' another program while it executes or what another program was doing at the moment it crashed.

GCC is a compiler Collection that includes front ends for C, C++, Objective-C, Fortran, Ada, Go, and D, as well as libraries for these languages.

GSL is a numerical library for C and C++ programmers. It is free software under the GNU General Public License. The library provides a wide range of mathematical routines such as random number generators, special functions and least-squares fitting. There are over 1000 functions in total with an extensive test suite.

OpenGL Extension Wrangler Library (GLEW) is a cross-platform open-source C/C++ extension loading library. GLEW provides efficient run-time mechanisms for determining which OpenGL extensions are supported on the target platform.

Libtool is a generic library support script that hides the complexity of using shared libraries behind a consistent, portable interface. To use Libtool, add the new generic library building commands to your Makefile, Makefile.in, or Makefile.am.

Maven is a software project management and comprehension tool. Based on the concept of a project object model (POM), Maven can manage a project's build, reporting and documentation from a central piece of information.

TAU (Tuning And Analysis Utilities) is capable of gathering performance information through instrumentation of functions, methods, basic blocks, and statements as well as event-based sampling. All C++ language features are supported including templates and namespaces.

Clang is a production quality C, Objective-C, C++ and Objective-C++ compiler when targeting X86-32, X86-64, and ARM (other targets may have caveats, but are usually easy to fix). Clang is used in production to build performance-critical software like Google Chrome or Firefox.

OpenCV is a highly optimized library with focus on real-time applications. Cross-Platform C++, Python and Java interfaces support Linux, MacOS, Windows, iOS, and Android.

Libcu++ is the NVIDIA C++ Standard Library for your entire system. It provides a heterogeneous implementation of the C++ Standard Library that can be used in and between CPU and GPU code.

ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files. It's widely used to build languages, tools, and frameworks. From a grammar, ANTLR generates a parser that can build parse trees and also generates a listener interface that makes it easy to respond to the recognition of phrases of interest.

Oat++ is a light and powerful C++ web framework for highly scalable and resource-efficient web application. It's zero-dependency and easy-portable.

JavaCPP is a program that provides efficient access to native C++ inside Java, not unlike the way some C/C++ compilers interact with assembly language.

Cython is a language that makes writing C extensions for Python as easy as Python itself. Cython is based on Pyrex, but supports more cutting edge functionality and optimizations such as calling C functions and declaring C types on variables and class attributes.

Spdlog is a very fast, header-only/compiled, C++ logging library.

Infer is a static analysis tool for Java, C++, Objective-C, and C. Infer is written in OCaml.

Python Development

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Python Learning Resources

Python is an interpreted, high-level programming language. Python is used heavily in the fields of Data Science and Machine Learning.

Python Developer’s Guide is a comprehensive resource for contributing to Python – for both new and experienced contributors. It is maintained by the same community that maintains Python.

Azure Functions Python developer guide is an introduction to developing Azure Functions using Python. The content below assumes that you've already read the Azure Functions developers guide.

CheckiO is a programming learning platform and a gamified website that teaches Python through solving code challenges and competing for the most elegant and creative solutions.

Python Institute

PCEP – Certified Entry-Level Python Programmer certification

PCAP – Certified Associate in Python Programming certification

PCPP – Certified Professional in Python Programming 1 certification

PCPP – Certified Professional in Python Programming 2

MTA: Introduction to Programming Using Python Certification

Getting Started with Python in Visual Studio Code

Google's Python Style Guide

Google's Python Education Class

Real Python

The Python Open Source Computer Science Degree by Forrest Knight

Intro to Python for Data Science

Intro to Python by W3schools

Codecademy's Python 3 course

Learn Python with Online Courses and Classes from edX

Python Courses Online from Coursera

Python Frameworks, Libraries, and Tools

Python Package Index (PyPI) is a repository of software for the Python programming language. PyPI helps you find and install software developed and shared by the Python community.

PyCharm is the best IDE I've ever used. With PyCharm, you can access the command line, connect to a database, create a virtual environment, and manage your version control system all in one place, saving time by avoiding constantly switching between windows.

Python Tools for Visual Studio(PTVS) is a free, open source plugin that turns Visual Studio into a Python IDE. It supports editing, browsing, IntelliSense, mixed Python/C++ debugging, remote Linux/MacOS debugging, profiling, IPython, and web development with Django and other frameworks.

Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.

Flask is a micro web framework written in Python. It is classified as a microframework because it does not require particular tools or libraries.

Web2py is an open-source web application framework written in Python allowing allows web developers to program dynamic web content. One web2py instance can run multiple web sites using different databases.

AWS Chalice is a framework for writing serverless apps in python. It allows you to quickly create and deploy applications that use AWS Lambda.

Tornado is a Python web framework and asynchronous networking library. Tornado uses a non-blocking network I/O, which can scale to tens of thousands of open connections.

HTTPie is a command line HTTP client that makes CLI interaction with web services as easy as possible. HTTPie is designed for testing, debugging, and generally interacting with APIs & HTTP servers.

Scrapy is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing.

Sentry is a service that helps you monitor and fix crashes in realtime. The server is in Python, but it contains a full API for sending events from any language, in any application.

Pipenv is a tool that aims to bring the best of all packaging worlds (bundler, composer, npm, cargo, yarn, etc.) to the Python world.

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

Bottle is a fast, simple and lightweight WSGI micro web-framework for Python. It is distributed as a single file module and has no dependencies other than the Python Standard Library.

CherryPy is a minimalist Python object-oriented HTTP web framework.

Sanic is a Python 3.6+ web server and web framework that's written to go fast.

Pyramid is a small and fast open source Python web framework. It makes real-world web application development and deployment more fun and more productive.

TurboGears is a hybrid web framework able to act both as a Full Stack framework or as a Microframework.

Falcon is a reliable, high-performance Python web framework for building large-scale app backends and microservices with support for MongoDB, Pluggable Applications and autogenerated Admin.

Neural Network Intelligence(NNI) is an open source AutoML toolkit for automate machine learning lifecycle, including Feature Engineering, Neural Architecture Search, Model Compression and Hyperparameter Tuning.

Dash is a popular Python framework for building ML & data science web apps for Python, R, Julia, and Jupyter.

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built-in.

Locust is an easy to use, scriptable and scalable performance testing tool.

spaCy is a library for advanced Natural Language Processing in Python and Cython.

NumPy is the fundamental package needed for scientific computing with Python.

Pillow is a friendly PIL(Python Imaging Library) fork.

IPython is a command shell for interactive computing in multiple programming languages, originally developed for the Python programming language, that offers enhanced introspection, rich media, additional shell syntax, tab completion, and rich history.

GraphLab Create is a Python library, backed by a C++ engine, for quickly building large-scale, high-performance machine learning models.

Pandas is a fast, powerful, and easy to use open source data structrures, data analysis and manipulation tool, built on top of the Python programming language.

PuLP is an Linear Programming modeler written in python. PuLP can generate LP files and call on use highly optimized solvers, GLPK, COIN CLP/CBC, CPLEX, and GUROBI, to solve these linear problems.

Matplotlib is a 2D plotting library for creating static, animated, and interactive visualizations in Python. Matplotlib produces publication-quality figures in a variety of hardcopy formats and interactive environments across platforms.

Scikit-Learn is a simple and efficient tool for data mining and data analysis. It is built on NumPy,SciPy, and mathplotlib.

R Development

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R Learning Resources

R is an open source software environment for statistical computing and graphics. It compiles and runs on a wide variety of platforms such as Windows and MacOS.

An Introduction to R

Google's R Style Guide

R developer's guide to Azure

Running R at Scale on Google Compute Engine

Running R on AWS

RStudio Server Pro for AWS

Learn R by Codecademy

Learn R Programming with Online Courses and Lessons by edX

R Language Courses by Coursera

Learn R For Data Science by Udacity

R Tools, Libraries, and Frameworks

RStudio is an integrated development environment for R and Python, with a console, syntax-highlighting editor that supports direct code execution, and tools for plotting, history, debugging and workspace management.

Shiny is a newer package from RStudio that makes it incredibly easy to build interactive web applications with R.

Rmarkdown is a package helps you create dynamic analysis documents that combine code, rendered output (such as figures), and prose.

Rplugin is R Language supported plugin for the IntelliJ IDE.

Plotly is an R package for creating interactive web graphics via the open source JavaScript graphing library plotly.js.

Metaflow is a Python/R library that helps scientists and engineers build and manage real-life data science projects. Metaflow was originally developed at Netflix to boost productivity of data scientists who work on a wide variety of projects from classical statistics to state-of-the-art deep learning.

Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data.

LightGBM is a gradient boosting framework that uses tree based learning algorithms, used for ranking, classification and many other machine learning tasks.

Dash is a Python framework for building analytical web applications in Python, R, Julia, and Jupyter.

MLR is Machine Learning in R.

ML workspace is an all-in-one web-based IDE specialized for machine learning and data science. It is simple to deploy and gets you started within minutes to productively built ML solutions on your own machines. ML workspace is the ultimate tool for developers preloaded with a variety of popular data science libraries (Tensorflow, PyTorch, Keras, and MXnet) and dev tools (Jupyter, VS Code, and Tensorboard) perfectly configured, optimized, and integrated.

Plumber is a tool that allows you to create a web API by merely decorating your existing R source code with special comments.

Drake is an R-focused pipeline toolkit for reproducibility and high-performance computing.

DiagrammeR is a package you can create, modify, analyze, and visualize network graph diagrams. The output can be incorporated into R Markdown documents, integrated with Shiny web apps, converted to other graph formats, or exported as image files.

Knitr is a general-purpose literate programming engine in R, with lightweight API's designed to give users full control of the output without heavy coding work.

Broom is a tool that converts statistical analysis objects from R into tidy format.

Julia Development

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Julia Learning Resources

Julia is a high-level, high-performance dynamic language for technical computing. Julia programs compile to efficient native code for multiple platforms via LLVM.

JuliaHub contains over 4,000 Julia packages for use by the community.

DataFrames Tutorial using Jupyter Notebooks

Julia Academy

Julia Meetup groups

Julia on Microsoft Azure

Julia Tools, Libraries and Frameworks

JuliaPro is a free and fast way to setup Julia for individual researchers, engineers, scientists, quants, traders, economists, students and others. Julia developers can build better software quicker and easier while benefiting from Julia's unparalleled high performance. It includes 2600+ open source packages or from a curated list of 250+ JuliaPro packages. Curated packages are tested, documented and supported by Julia Computing.

Juno is a powerful, free IDE based on Atom for the Julia language.

Debugger.jl is the Julia debuggin tool.

Profile (Stdlib) is a module provides tools to help developers improve the performance of their code. When used, it takes measurements on running code, and produces output that helps you understand how much time is spent on individual line's.

Revise.jl allows you to modify code and use the changes without restarting Julia. With Revise, you can be in the middle of a session and then update packages, switch git branches, and/or edit the source code in the editor of your choice; any changes will typically be incorporated into the very next command you issue from the REPL. This can save you the overhead of restarting Julia, loading packages, and waiting for code to JIT-compile.

JuliaGPU is a Github organization created to unify the many packages for programming GPUs in Julia. With its high-level syntax and flexible compiler, Julia is well positioned to productively program hardware accelerators like GPUs without sacrificing performance.

IJulia.jl is the Julia kernel for Jupyter.

AWS.jl is a Julia interface for Amazon Web Services.

CUDA.jl is a package for the main programming interface for working with NVIDIA CUDA GPUs using Julia. It features a user-friendly array abstraction, a compiler for writing CUDA kernels in Julia, and wrappers for various CUDA libraries.

XLA.jl is a package for compiling Julia to XLA for Tensor Processing Unit(TPU).

Nanosoldier.jl is a package for running JuliaCI services on MIT's Nanosoldier cluster.

Julia for VSCode is a powerful extension for the Julia language.

JuMP.jl is a domain-specific modeling language for mathematical optimization embedded in Julia.

Optim.jl is a univariate and multivariate optimization in Julia.

RCall.jl is a package that allows you to call R functions from Julia.

JavaCall.jl is a package that allows you to call Java functions from Julia.

PyCall.jl is a package that allows you to call Python functions from Julia.

MXNet.jl is the Apache MXNet Julia package. MXNet.jl brings flexible and efficient GPU computing and state-of-art deep learning to Julia.

Knet is the Koç University deep learning framework implemented in Julia by Deniz Yuret and collaborators. It supports GPU operation and automatic differentiation using dynamic computational graphs for models defined in plain Julia.

Distributions.jl is a Julia package for probability distributions and associated functions.

DataFrames.jl is a tool for working with tabular data in Julia.

Flux.jl is an elegant approach to machine learning. It's a 100% pure-Julia stack, and provides lightweight abstractions on top of Julia's native GPU and AD support.

IRTools.jl is a simple and flexible IR format, expressive enough to work with both lowered and typed Julia code, as well as external IRs.

Cassette.jl is a Julia package that provides a mechanism for dynamically injecting code transformation passes into Julia’s just-in-time (JIT) compilation cycle, enabling post hoc analysis and modification of "Cassette-unaware" Julia programs without requiring manual source annotation or refactoring of the target code.

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Distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) Public License.

Computer Vision Guide

A guide covering Computer Vision including the applications, libraries and tools that will make you a better and more efficient Computer Vision development.

Table of Contents

Computer Vision Learning Resources

Computer Vision Tools, Libraries, and Frameworks

Photogrammetry Development

Photogrammetry Learning Resources

Photogrammetry Tools, Libraries, and Frameworks

Autodesk Development

Autodesk Learning Resources

Autodesk Tools and Frameworks

LiDAR Development

LiDAR Learning Resources

LiDAR Tools & Frameworks

Game Development

Game Engines

Game Development Learning Resources

Game Development Tools

Augmented Reality (AR) & Virtual Reality (VR)

Robotics Development

Robotic Arms & Dev Kits

Robotics Learning Resources

Robotics Tools and Frameworks

Linear Algebra

Linear Algebra Learning Resources

Defintions

i. Vector operations

ii. Matrix operations

iii. Matrix-vector product

iv. Linear transformations

v. Fundamental vector spaces

Computational Linear Algebra

i. Solving systems of equations

ii. Systems of equations as matrix equations

Computing the Inverse of a Matrix

i. Using row operations

ii. Using elementary matrices

iii. Transpose of a Matrix

Other Linear Topics

i. Basis

ii. Matrix representations of linear transformations

iii. Dimension and Basis for Vector Spaces

iv. Row space, columns space, and rank of a matrix

v. Invertible matrix theorem

vi. Determinants

vii. Eigenvalues and eigenvectors

viii. Linear Regression

Algorithms

Machine Learning

Learning Resources for ML

ML Frameworks, Libraries, and Tools

CUDA Development

CUDA Learning Resources

CUDA Tools Libraries, and Frameworks

MATLAB Development

MATLAB Learning Resources

MATLAB Tools, Libraries, Frameworks

C/C++ Development

C/C++ Learning Resources

C/C++ Tools and Frameworks

Python Development

Python Learning Resources

Python Frameworks, Libraries, and Tools

R Development

R Learning Resources

R Tools, Libraries, and Frameworks

Julia Development

Julia Learning Resources

Julia Tools, Libraries and Frameworks

Contribute

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