Homepage for MOTIF lab led by Prof. Hao Zhou at University of South Florida

Blue Zero

NeuroEvolution Optimization with Reinforcement Learning

Training pipeline for end-to-end self-driving with Comma AI's Openpilot. WIP

openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 85 supported car makes and models.

L5Kit - level5.lyft.com

A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm

Integration of RLLib and CARLA

A benchmark for offline reinforcement learning.

This is a git-lfs reposotory for storing map data for the CARLA simulator.

A toolkit for reproducible reinforcement learning research.

Some ipython notebooks implementing AI algorithms

How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows

An AI agent Learning to play Flappy Bird using Evolution Strategies and deep learning models.

PyTorch implementations of deep reinforcement learning algorithms and environments

Self driving car lane and path detection

Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning

An OpenAI gym wrapper for CARLA simulator

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Hands-on Deep Reinforcement Learning, published by Packt

Repository for most of the code from my YouTube channel

Some awesome AI related books and pdfs for learning and downloading