keep9oing

keep9oing's Stars

• microsoft/generative-ai-for-beginners

  21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

  Language:Jupyter Notebook76.3k69614639.5k

• federico-busato/Modern-CPP-Programming

  Modern C++ Programming Course (C++03/11/14/17/20/23/26)

  Language:HTML13k144177896

• CGAL/cgal

  The public CGAL repository, see the README below

  Language:C++5.3k1673.2k1.4k

• lululxvi/deepxde

  A library for scientific machine learning and physics-informed learning

  Language:Python3.1k58815802

• mit-han-lab/torchquantum

  A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

  Language:Jupyter Notebook1.4k29123213

• quantumiracle/Popular-RL-Algorithms

  PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

  Language:Jupyter Notebook1.2k1421134

• davidmrau/mixture-of-experts

  PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538

  Language:Python1.1k626109

• ai-winter/python_motion_planning

  Motion planning(Path Planning and Trajectory Planning/Tracking) of AGV/AMR：python implementation of Dijkstra, A*, JPS, D*, LPA*, D* Lite, (Lazy)Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, Voronoi, PID, DWA, APF, LQR, MPC, RPP, Bezier, Dubins etc.

  Language:Python64961387

• FLAIROx/JaxMARL

  Multi-Agent Reinforcement Learning with JAX

  Language:Python5461248108

• openai/safety-starter-agents

  Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.

  Language:Python413611113

• mlabonne/graph-neural-network-course

  Free hands-on course about Graph Neural Networks using PyTorch Geometric.

  Language:Jupyter Notebook3476171

• chenmingxiang110/Growing-Neural-Cellular-Automata

  A reproduction of growing neural cellular automata using PyTorch.

  Language:Python2357335

• corl-team/xland-minigrid

  JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid 🏎️

  Language:Python19491515

• facebookresearch/minimax

  Efficient baselines for autocurricula in JAX.

  Language:Python1866517

• jianzhnie/deep-marl-toolkit

  MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT...

  Language:Python1212617

• UT-Austin-RPL/amago

  a simple and scalable agent for training adaptive policies with sequence-based RL

  Language:Python1172147

• luchris429/popjaxrl

  Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]

  Language:Python995711

• rlglab/minizero

  MiniZero: An AlphaZero and MuZero Training Framework

  Language:C++857422

• TheodoreWolf/pinns

  Playing around with Phyiscs-Informed Neural Networks

  Language:Jupyter Notebook73129

• mlech26l/gigastep

  Language:Python704125

• Kei18/mapf-visualizer

  simple multi-agent pathfinding (MAPF) visualizer for research usage

  Language:C++651815

• reso1/MSTC_Star

  code with ICRA'21 paper - (MSTC*: Multi-robot Coverage Path Planning under physical constraints)

  Language:Python421010

• naver/bq-nco

  Language:Python35423

• hlefebvr/idol

  A C++ Framework for Optimization

  Language:C++332130

• MIT-REALM/gcbf-pytorch

  PyTorch Official Implementation of CoRL 2023 Paper: Neural Graph Control Barrier Functions Guided Distributed Collision-avoidance Multi-agent Control

  Language:Python29115

• zhu-edward/DGSQP

  A Python implmentation of the Dynamic Game SQP algorithm

  Language:Python24114

• castacks/tigris

  TIGRIS: An Informed Sampling-based Informative Path Planner

  20900

• Pedro-Roque/reswarm_dmpc

  ROS Package for the ReSwarm Distributed MPC methods, consisting of multiple implementations of distributed MPC schemes for formation control

  Language:C15302

• JongYun-Kim/lazy-fusion-flocking

  I AM lazy

  1

• JongYun-Kim/lazy_flocking_rl

  Language:Python11