ken-power

ComputerVision-OpticalFlow

Optical Flow and Deep Learning Use Cases

DRLND_DeepReinforcementLearning_Examples

Examples and tutorials that implement various algorithms in Deep Reinforcement Learning.

SelfDrivingCarND-Capstone

Program a real Self-Driving Car by writing ROS nodes to implement core functionality of the autonomous vehicle system.

CVND-ComputerVisionExercises

Computer Vision and Deep Learning exercises from Udacity's Computer Vision Nanodegree

SelfDrivingCarND-PathPlanning

A Path Planner that creates smooth, safe trajectories for a self-driving car to follow, enabling the car to safely navigate around a virtual highway with other traffic.

SelfDrivingCarND-ExtendedKalmanFilter

Implement an Extended Kalman Filter (EKF) and use the EFK with noisy LiDAR and RADAR measurements to estimate the state of a moving object of interest.

SelfDrivingCarND-TrafficSignClassifier

Build a Convolutional Neural Network (CNN) that recognizes traffic signs.

CVND-ObjectMotionAndLocalization

A set of Object Motion and Localization projects, focused on localising robots, including self-driving cars.

CVND-SLAM

Combine knowledge of robot sensor measurements and movement to create a map of an environment from only sensor and motion data gathered by a robot, over time.

SelfDrivingCarND-KidnappedVehicle

Implement a 2-dimensional particle filter in C++.

CVND-AutomaticImageCaptioning

Create a neural network architecture to automatically generate captions from images.

CVND-FacialKeypointDetection

Combine computer vision techniques and deep learning architectures to build a facial keypoint detection system.

DeepLearning-Basics

A set of projects that illustrate some basic concepts in Deep Learning.

DRLND_ContinuousControl

Deep Reinforcement Learning: Continuous Control. Solve the Unity ML-Agents Reacher Environment.

DRLND_Navigation

Use Deep Reinforcement Learning to train an agent to navigate in a large, square world and collect bananas.

drone-programming-cv

Computer vision use cases for autonomous drones.

ML-Optimization

Optimization for Machine Learning

MR-Image-Analysis

Analysis of 3D Magnetic Resonance (MR) Images

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

SelfDrivingCarND-AdvancedLaneLines

A software pipeline to identify the lane boundaries from a video of a road.

SelfDrivingCarND-BehavioralCloning

Use convolutional neural networks (CNNs) to clone driving behavior and train a self-driving car to autonomously navigate a track.

SelfDrivingCarND-PID-Controller

Implement a PID controller to enable a self-driving car to manoeuvre around a track.

tensorflow

An Open Source Machine Learning Framework for Everyone

Adv360-Pro-ZMK

Production repository for the all-new Advantage360 Professional using ZMK engine

depth-ai

Depth AI

iclr-blog-track.github.io

ken-power

Hello

ken-power.github.io

ML-Transformers

Transformers in Machine Learning

P0267_RefImpl

Reference Implementations of P0267, the proposed 2D graphics API for ISO C++