zzjun725

zzjun725's Stars

• haotian-liu/LLaVA

  [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

  Language:Python21k1581.6k2.3k

• openai/spinningup

  An educational resource to help anyone learn deep reinforcement learning.

  Language:Python10.3k2302892.3k

• vwxyzjn/cleanrl

  High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

  Language:Python6k37186680

• facebookresearch/Pearl

  A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.

  Language:Jupyter Notebook2.7k3559174

• pytorch/rl

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

  Language:Python2.5k42656327

• astooke/rlpyt

  Reinforcement Learning in PyTorch

  Language:Python2.2k52169327

• Denys88/rl_games

  RL implementations

  Language:Jupyter Notebook97417106163

• opendilab/awesome-model-based-RL

  A curated list of awesome model based RL resources (continually updated)

  97441152

• NM512/dreamerv3-torch

  Implementation of Dreamer v3 in pytorch.

  Language:Python4551160101

• locuslab/differentiable-mpc

  Language:Python25610452

• TUMFTM/GraphBasedLocalTrajectoryPlanner

  Local trajectory planner based on a multilayer graph framework for autonomous race vehicles.

  Language:Python2417255

• fjp/frenet

  Transform Frenet (s,d) to local Cartesian (x,y) coordinates.

  Language:HTML2265867

• wangz10/contrastive_loss

  Experiments with supervised contrastive learning methods with different loss functions

  Language:Jupyter Notebook2187535

• TUMFTM/trajectory_planning_helpers

  Useful functions used for path and trajectory planning at TUM/FTM

  Language:Python14710240

• TUMFTM/NeuralNetwork_for_VehicleDynamicsModeling

  Language:Python1315235

• cagatayyildiz/ODE2VAE

  ODE2VAE: Deep generative second order ODEs with Bayesian neural networks

  Language:Python1258627

• ForzaETH/race_stack

  The autonomous racing stack for the ForzaETH team at PBL

  Language:Python10551125

• seohongpark/HILP

  Foundation Policies with Hilbert Representations (ICML 2024)

  Language:Python75249

• gwthomas/Safe-MBPO

  Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"

  Language:Python42328

• BDEvan5/f1tenth_benchmarks

  Implementations of common F1Tenth autonomous racing algorithms with benchmark results.

  Language:Jupyter Notebook35117

• proroklab/adversarial_comms

  Language:Python30364

• f1tenth/f1tenth_planning

  Central repo for all motion planners created for F1TENTH.

  Language:Python26492

• jatan12/DiffProj

  End-to-End Learning of Behavioural Inputs for Autonomous Driving in Dense Traffic

  Language:Python20211

• smorad/graph-conv-memory-paper

  Graph convolutional memory for reinforcement learning

  Language:Python20313

• xjsong99/LipsNet

  LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control (ICML 2023)

  Language:Python17211

• luigiberducci/learning_adaptive_safety

  Repository of the work "Learning Adaptive Safety for Multi-agent Systems"

  Language:Python12214

• bowen-upenn/Multi-Agent-VQA

  [CVPR 2024 CVinW] Multi-Agent VQA: Exploring Multi-Agent Foundation Models on Zero-Shot Visual Question Answering

  Language:Python9300

• JZ76/Training-Overtaking-Algorithm

  This repository has code of how to train a RNN that can perform overtaking in F1TENTH simulator as well as a dataset I have created

  Language:Jupyter Notebook8103

• nandantumu/PIT

  Physics-informed toolbox

  Language:Jupyter Notebook3321

• zzangupenn/f1tenth_racetracks

  This repository contains maps from over 20 real race tracks (mainly F1 and DTM) downscaled for the usage in the F1TENTH Gym and F1TENTH Simulator.

  Language:Python1000