Z8232000

Z8232000's Stars

• fxia22/gn.pytorch

  Language:Jupyter Notebook5118

• google-deepmind/dm_control

  Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

  Language:Python3.8k668

• pytorch/rl

  A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

  Language:Python2.3k306

• WilsonWangTHU/NerveNet

  Language:Python11327

• eloialonso/diamond

  DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.

  Language:Python1.5k91

• facebookresearch/hsd3

  Code for "Hierarchical Skills for Efficient Exploration" HSD-3 Algorithm and Baselines

  Language:Python498

• nokpil/RAIN

  Language:Python101

• alpc91/SGRL

  [ICML 2023 Oral] Official environments and implementations for "Subequivariant Graph Reinforcement Learning in 3D Environments"

  Language:Python171

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python56k5.7k

• google-deepmind/deepmind-research

  This repository contains implementations and illustrative code to accompany DeepMind publications

  Language:Jupyter Notebook13.2k2.6k

• robotlearning123/dual_ur5_husky_mujoco

  Dual UR5 Husky Robot MuJoCo Model

  Language:Shell17323

• cogtoolslab/physics-benchmarking-neurips2021

  Repo for "Physion: Evaluating Physical Prediction from Vision in Humans and Machines", presented at NeurIPS 2021 (Datasets & Benchmarks track)

  Language:Jupyter Notebook593

• google/brax

  Massively parallel rigidbody physics simulation on accelerator hardware.

  Language:Jupyter Notebook2.3k254

• graphdeeplearning/benchmarking-gnns

  Repository for benchmarking graph neural networks

  Language:Jupyter Notebook2.5k452

• alpc91/SMERL

  [ICML 2024] Official environments and JAX-implementations for "Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments"

  Language:Python5

• YunzhuLi/VGPL-Dynamics-Prior

  [ICML 2020] Visual Grounding of Learned Physical Models (Dynamics Prior)

  Language:Python348

• tunz/transformer-pytorch

  Transformer implementation in PyTorch.

  Language:Python464102

• hanjq17/SGNN

  [NeurIPS 2022] The implementation for the paper "Learning Physical Dynamics with Subequivariant Graph Neural Networks".

  Language:Python281

• htung0101/Physion-particles

  Official implementation of particle-based models (GNS and DPI-Net) on the Physion dataset.

  Language:Python262

• Eydcao/BSMS-GNN

  Language:Python488

• twni2016/f-IRL

  Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020

  Language:Python418

• ShangtongZhang/reinforcement-learning-an-introduction

  Python Implementation of Reinforcement Learning: An Introduction

  Language:Python13.6k4.8k

• BUAA-SE-2021/software-engineering

  Language:Python1112

• ruanyf/wechat-miniprogram-demos

  微信小程序教程库

  685133

• Guzaiwang/CE-Net

  The manuscript has been accepted in TMI.

  Language:Python23476

• GoatGirl98/Walkthrough-of-ACCoding-in-BUAA

  北航OJ通关攻略，包括北航软件学院的在线评测网站（OJ）——AC编程（accoding.buaa.edu.cn）开放课程的全部题解

  Language:C++29029