StaminaTang's repositories
eat_pytorch_in_20_days
Pytorch🍊🍉 is delicious, just eat it! 😋😋
gym-minigrid
Minimalistic gridworld package for OpenAI Gym
awesome-reinforcement-learning-zh
中文整理的强化学习资料（Reinforcement Learning）
cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
CS330-Stanford-2019
My notes and assignment solutions for Stanford CS330 (Fall 2019) Deep Multi-Task and Meta Learning
DeepLearning
深度学习、强化学习、模仿学习与机器人
DURLECA
The released code for DURLECA.
fast-reinforcement-learning
Fastai for computer vision and tabular learning has been amazing. One would wish that this would be the same for RL. The purpose of this repo is to have a framework that is as easy as possible to start, but also designed for testing new agents.
Getting-Things-Done-with-Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
introRL
Intro to Reinforcement Learning (强化学习纲要）
keras-rl
Deep Reinforcement Learning for Keras.
model-free-algorithms
TD3, SAC, IQN, Rainbow, PPO, Ape-X, NoisyNets, PER, etc
offlinerl
Repo for offline reinforcement learning methods
PapersAnalysis
Analysis, summaries, cheatsheets about relevant papers
pytorch-rl
Deep Reinforcement Learning with pytorch & visdom
pytorch-rl-il
A library for building reinforcement learning and imitation learning agents in Pytorch
PyVirtualDisplay
Python wrapper for Xvfb, Xephyr and Xvnc
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.
Reinforcement_Learning
Reinforcement Learning research
RL-Taxonomy
Loose taxonomy of reinforcement learning algorithms
rlbc
Learning policies for robotic manipulation
rlpyt
Reinforcement Learning in PyTorch
sim2real_drone_racing
A Framework for Zero-Shot Sim2Real Drone Racing
SOTA-RL-Algorithms
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
torchrl
Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
whynot
A Python sandbox for decision making in dynamics