xiaohuojianchendiwen's repositories
annotated_deep_learning_paper_implementations
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
federated
A framework for implementing federated learning
Mava
A library of multi-agent reinforcement learning components and systems
FATE
An Industrial Grade Federated Learning Framework
tianshou
An elegant PyTorch deep reinforcement learning library.
google-research
Google Research
DRLib
DRLib：A concise deep reinforcement learning library, integrating HER and PER for almost off policy RL algos.
pymarl
Python Multi-Agent Reinforcement Learning framework
on-policy
This is the official implementation of Multi-Agent PPO (MAPPO).
P-DQN
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space
RLsilde
Some notes about reinforce learning.
RL_Tutorial
Tutorial for Reinforcement Learning
T-GCN
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
R2D2
An Implementation of Recurrent Experience Replay in Distributed Reinforcement Learning (Kapturowski et al. 2019) in PyTorch and Ray
Keras-GAN
Keras implementations of Generative Adversarial Networks.
DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
smac
SMAC: The StarCraft Multi-Agent Challenge
UAV-AHU
Knowledge distillation, drone delivery system, street photography, identification and matching
Dueling_DQN
Dueling DQN Pytorch
machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
docs
TensorFlow documentation
DRL_algorithm_library
This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.
pderl
Code for "Proximal Distilled Evolutionary Reinforcement Learning", accepted at AAAI 2020
light_mappo
Lightweight version of MAPPO to help you quickly migrate to your local environment.
StarCraft
Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
maddpg
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
malib_deprecated
A Multi-agent Learning Framework