Pinned Repositories
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
BuildScenario
transfer description to driving dynamic process, will set several milestone to make generate driving scenario, used by auto driving algorithm testing, as a easy thing for every newer in self-driving field.
can-utils
Linux-CAN / SocketCAN user space applications
carla
Open-source simulator for autonomous driving research.
deeplearningbook-chinese
Deep Learning Book Chinese Translation
dissecting-reinforcement-learning
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
docker-sumo
Containerised SUMO. Use sumo, sumo-gui and TraCI with Docker. :whale: :car:
gail-driver
graph_nets
Build Graph Nets in Tensorflow
highway-env
An environment for behavioral planning tasks in autonomous driving
charleschen6's Repositories
charleschen6/highway-env
An environment for behavioral planning tasks in autonomous driving
charleschen6/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
charleschen6/BuildScenario
transfer description to driving dynamic process, will set several milestone to make generate driving scenario, used by auto driving algorithm testing, as a easy thing for every newer in self-driving field.
charleschen6/can-utils
Linux-CAN / SocketCAN user space applications
charleschen6/carla
Open-source simulator for autonomous driving research.
charleschen6/deeplearningbook-chinese
Deep Learning Book Chinese Translation
charleschen6/dissecting-reinforcement-learning
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
charleschen6/docker-sumo
Containerised SUMO. Use sumo, sumo-gui and TraCI with Docker. :whale: :car:
charleschen6/gail-driver
charleschen6/graph_nets
Build Graph Nets in Tensorflow
charleschen6/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
charleschen6/libcan-encode-decode
C++ functions for encoding and decoding CAN frames ( uint8_t[8] )
charleschen6/maddpg
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
charleschen6/MazeBase
Simple environment for creating very simple 2D games and training neural network models to perform tasks within them
charleschen6/multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
charleschen6/practicalAI
📚 A practical approach to machine learning.
charleschen6/practicalAI-cn
AI实战-practicalAI 中文版
charleschen6/PyTorchDocs
PyTorch 官方中文教程包含 60 分钟快速入门教程，强化教程，计算机视觉，自然语言处理，生成对抗网络，强化学习。欢迎 Star，Fork！
charleschen6/ray
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
charleschen6/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
charleschen6/ros_canopen
CANopen driver framework for ROS (http://wiki.ros.org/ros_canopen)
charleschen6/sumo
Eclipse SUMO is an open source, highly portable, microscopic and continuous road traffic simulation package designed to handle large road networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
charleschen6/the-craft-of-selfteaching
One has no future if one couldn't teach themself.
charleschen6/webots
Webots Robot Simulator