Ar-ALN's repositories
90DaysOfDevOps
This repository is my documenting repository for learning the world of DevOps. I started this journey on the 1st January 2022 and I plan to run to March 31st for a complete 90-day romp on spending an hour a day including weekends to get a foundational knowledge across a lot of different areas that make up DevOps.
algorithm_of_machine-learning
hand code for application and software design practice
anomalib
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Artificial-Intelligence
Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools
awesome-hacking
A curated list of awesome Hacking tutorials, tools and resources
ClonedPerson
This project contains the ClonedPerson dataset and code described in our paper "Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification".
Codex-CLI
CLI tool that uses Codex to turn natural language commands into their Bash/ZShell/PowerShell equivalents
computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
Fast_Dense_Feature_Extraction
A Pytorch and TF implementation of the paper "Fast Dense Feature Extraction with CNNs with Pooling Layers"
FeatureNet
Machining feature recognition
genienlp
GenieNLP: A versatile codebase for many NLP tasks
homepage
A highly customizable homepage (or startpage / application dashboard) with Docker and service API integrations.
inplace_abn
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more
Machine-Learning
This repository serves as a template for all practical applications of basic ML algorithms implemented in both R and Python.
ML-RoadMapOf-100Days
Hey 👋 , Made Road-Map for ML ( Machine 🤖 Learning ) & DL ( Deep 🤖 Learning ) Learner .
ml-system-design-pattern
System design patterns for machine learning
Neuraxle
A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.
pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
pytorch_geometric
Graph Neural Network Library for PyTorch
qlib
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.
roadmaps
This repo is to add pages on various career paths and roadmaps such as data scientist, software engineer etc.
scene-representation-networks
Official Pytorch implementation of Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
secml_malware
Create adversarial attacks against machine learning Windows malware detectors
Software-Design-Principles-for-Machine-Learning
Implementations and Violations of Software Design Principles in Machine Learning
Torch-Sphere-Tracer
PyTorch implementation of differentiable Sphere Tracing / Ray Marching with SDFs (Signed Distance Function) and CSG (Constructive Solid Geometry).
ums
Total Nitrogen Estimation in Agricultural Soils via Aerial Multispectral Imaging and LIBS.