Chenzhuang Du's repositories
FSQ-pytorch
A Pytorch Implementation of Finite Scalar Quantization
flowencrypt
the code of paper 《Secure Data Sharing With Flow Model》
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
cogdl
CogDL: An Extensive Research Toolkit for Graphs
dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
dmcontrol-generalization-benchmark
DMControl Generalization Benchmark
enhancing-transformers
An unofficial implementation of both ViT-VQGAN and RQ-VAE in Pytorch
gpupool
gpu pool k8s configurations
gym-carla
An OpenAI gym wrapper for CARLA simulator
introRL
Intro to Reinforcement Learning (强化学习纲要）
LLaVA
Large Language-and-Vision Assistant built towards multimodal GPT-4 level capabilities.
macad-gym
Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:
maddpg-pytorch
This is pytorch version of maddpg.
MADRL
Repo containing code for multi-agent deep reinforcement learning (MADRL).
minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
MultiBench
[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning
muse-maskgit-pytorch
Implementation of Muse: Text-to-Image Generation via Masked Generative Transformers, in Pytorch
oatomobile
A research framework for autonomous driving
policy-adaptation-during-deployment
Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.
PPO-PyTorch
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
PPO-pytorch-Mujoco
Implement PPO algorithm on mujoco environment，such as Ant-v2, Humanoid-v2, Hopper-v2, Halfcheeth-v2.
python-opengl-tutorial
Python opengl-tutorial base on PyOpenGL.
pytorch_sac_ae
PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
rad
RAD: Reinforcement Learning with Augmented Data
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.
rlpyt
Reinforcement Learning in PyTorch
SMARTS
Scalable Multi-Agent RL Training School for Autonomous Driving
spinningup
An educational resource to help anyone learn deep reinforcement learning.
tianshou
An elegant, flexible, and superfast PyTorch deep reinforcement learning platform. (For previewed features, please checkout the "dev" branch)