rezunli96

rezunli96's Stars

• n2cholas/awesome-jax

  JAX - A curated list of resources https://github.com/google/jax

  1.5k126

• google-deepmind/concordia

  A library for generative social simulation

  Language:Python502100

• facebookresearch/minimax

  Efficient baselines for autocurricula in JAX.

  Language:Python16514

• google-deepmind/acme

  A library of reinforcement learning components and agents

  Language:Python3.5k426

• sotetsuk/pgx

  ♟️ Vectorized RL game environments in JAX

  Language:Python39125

• FLAIROx/JaxMARL

  Multi-Agent Reinforcement Learning with JAX

  Language:Python39469

• ReaVNaiL/New-Grad-2024

  👋 Hey there new grad🎉! We've put together a collection of full-time job openings for SWE, Quant, PM and tech roles in 2024! 🚀

  Language:Python6.3k567

• openai/openai-cookbook

  Examples and guides for using the OpenAI API

  Language:MDX58.5k9.3k

• Farama-Foundation/chatarena

  ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.

  Language:Python1.3k129

• luchris429/purejaxrl

  Really Fast End-to-End Jax RL Implementations

  Language:Python67056

• lightvector/KataGo

  GTP engine and self-play learning in Go

  Language:C++3.5k561

• vwxyzjn/cleanrl

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

  Language:Python5.3k604

• google-deepmind/launchpad

  Language:Python31035

• facebookresearch/nocturne

  A data-driven, fast driving simulator for multi-agent coordination under partial observability.

  Language:Python25829

• google-deepmind/mctx

  Monte Carlo tree search in JAX

  Language:Python2.3k187

• google-deepmind/sonnet

  TensorFlow-based neural network library

  Language:Python9.7k1.3k

• google-deepmind/dm-haiku

  JAX-based neural network library

  Language:Python2.9k232

• causalincentives/pycid

  Library for graphical models of decision making, based on pgmpy and networkx

  Language:Jupyter Notebook9413

• instadeepai/Mava

  🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

  Language:Python69683

• duchi-lab/certifiable-distributional-robustness

  Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)

  Language:Python4512

• yasserfarouk/scml

  ANAC Supply Chain Management League Development Environment

  Language:Jupyter Notebook97

• IC3Net/IC3Net

  Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks

  Language:Python20749

• mnoukhov/emergent-compete

  Code for Emergent Communication under Competition (AAMAS 2021)

  Language:Jupyter Notebook101

• iassael/learning-to-communicate-pytorch

  Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

  Language:Python41

• asappresearch/emergent-comms-negotiation

  Reproduce ICLR2018 submission "Emergent Communication through Negotiation"

  Language:Python178

• tensorly/tensorly

  TensorLy: Tensor Learning in Python.

  Language:Python1.5k290

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.2k4k

• oxwhirl/pymarl

  Python Multi-Agent Reinforcement Learning framework

  Language:Python1.8k380

• bayesian-optimization/BayesianOptimization

  A Python implementation of global optimization with gaussian processes.

  Language:Python7.8k1.5k

• electronicarts/CnC_Remastered_Collection

  Language:C++18.3k4.7k