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Package Usage: pypi: supersuit

Wrappers for Gymnasium and PettingZoo
49 versions
Latest release: 10 months ago
3 dependent packages
55,296 downloads last month

View more package details: https://packages.ecosyste.ms/registries/pypi.org/packages/supersuit

View more repository details: https://repos.ecosyste.ms/hosts/GitHub/repositories/Farama-Foundation%2FSuperSuit

Dependent Repos 153

alanwguo/ray Fork of ray-project/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.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 356 MB - Last synced: 23 days ago - Pushed: 24 days ago

behnamh217rn21/ray-master
  • ==2.6.6 python/requirements/ml/requirements_rllib.txt

Size: 14.9 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

rohankumardubey/ray
  • ==3.3.2 python/requirements/ml/requirements_rllib.txt

Size: 99 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

TingkaiLiu/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==3.7.0 python/requirements/ml/requirements_rllib.txt

Size: 269 MB - Last synced: 11 months ago - Pushed: over 1 year ago

zcin/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==3.7.0 python/requirements/ml/requirements_rllib.txt

Size: 377 MB - Last synced: 3 days ago - Pushed: 3 days ago

scv119/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 339 MB - Last synced: 5 months ago - Pushed: 5 months ago

gjoliver/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==3.7.0 python/requirements/ml/requirements_rllib.txt

Size: 284 MB - Last synced: 12 months ago - Pushed: 12 months ago

Mo379/Tensornets-gpu-jax-docker
Tensornetwork hosted inside a docker container that is gpu enabled running jax
  • ==3.4.0 extras/includes/requirements.txt

Size: 90.3 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago

RedTachyon/coltra-rl
A modular implementation of PPO, and soon hopefully other algorithms.
  • >=3.4.0 requirements.txt

Size: 1.03 MB - Last synced: 28 days ago - Pushed: 4 months ago

jaewan/ray_memory_management Fork of ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 248 MB - Last synced: about 1 month ago - Pushed: 7 months ago

longshotsyndicate/ray Fork of ray-project/ray
A system for parallel and distributed Python that unifies the ML ecosystem.
  • ==3.3.2 python/requirements/ml/requirements_rllib.txt

Size: 221 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

ElliotMunro200/my_cleanrl
my version of the official CleanRL repo
  • 3.3.4 poetry.lock
  • ^3.3.3 pyproject.toml

Size: 45.6 MB - Last synced: about 1 year ago - Pushed: about 2 years ago

LovelyBuggies/sumo-gym
OpenAI-gym like toolkit for developing and comparing reinforcement learning algorithms on SUMO.
  • >=3.3.2 requirements.txt

Size: 9.63 MB - Last synced: 26 days ago - Pushed: 26 days ago

vishalbelsare/ray Fork of ray-project/ray
A high-performance distributed execution engine
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 277 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

ddelange/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 350 MB - Last synced: about 1 month ago - Pushed: about 1 month ago

anniyanvr/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 276 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

jianoaix/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==3.7.0 python/requirements/ml/requirements_rllib.txt

Size: 264 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

r4b3rt/ray Fork of ray-project/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.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 275 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

merlinepedra25/RAY-1
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 137 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

elfinhe/ray Fork of ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 221 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

sjtu-marl/malib
A parallel framework for population-based multi-agent reinforcement learning.
  • ==3.3.1 docs/requirements.txt
  • ==3.3.1 setup.py

Size: 9.18 MB - Last synced: 2 months ago - Pushed: 5 months ago

olipinski/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 233 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

HJasperson/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 211 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

dovugiacan14/Traffic-Signal-Control
  • ==3.3.3 requirement.txt

Size: 2.21 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago

mattip/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 352 MB - Last synced: 24 days ago - Pushed: 30 days ago

kurisusnowdeng/ray Fork of ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 216 MB - Last synced: 6 months ago - Pushed: over 1 year ago

ElieKadoche/configuration_files
Personal configuration files.
  • * requirements.txt

Size: 325 KB - Last synced: 8 days ago - Pushed: 8 days ago

jvanheugten/ray Fork of ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 222 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
  • ==3.8.0 python/requirements/ml/rllib-test-requirements.txt
  • ==3.8.0 python/requirements_compiled.txt

Size: 383 MB - Last synced: 4 days ago - Pushed: 4 days ago

epbmlafsro/flatland
  • * flatland/contrib/requirements_training.txt

Last synced: over 1 year ago

rytse/geonets
PyTorch implementations of geometric learning algorithms and architectures. Subset of CAMOC.
  • ==3.3.2 environment.yml

Size: 235 KB - Last synced: about 1 month ago - Pushed: 10 months ago

ethanabrooks/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 282 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

quantumiracle/nash-dqn
Official code of Nash-DQN for paper: Nash-DQN algorithm for two-player zero-sum Markov games, details see our paper: A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games. Zihan Ding, Dijia Su, Qinghua Liu, Chi Jin
  • 3.4.0 poetry.lock

Size: 25.2 MB - Last synced: about 1 month ago - Pushed: over 1 year ago

alanhesu/evacuation_MARL
  • ==3.2.0 _old/environment.yml

Size: 36.4 MB - Last synced: 2 months ago - Pushed: about 2 years ago

jkterry1/MCMES_cleanup_scratch
  • * requirements.txt

Size: 1.46 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago

PavelCz/ray-testbed
  • ==3.3.2 python/requirements/ml/requirements_rllib.txt

Size: 148 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

franklsf95/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 347 MB - Last synced: about 2 months ago - Pushed: about 2 months ago

lchu-ibm/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 232 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

tuananhroman/arena-marl Fork of Arena-Rosnav/arena-marl
  • 3.3.3 poetry.lock

Size: 245 KB - Last synced: about 1 year ago - Pushed: over 1 year ago

Rohan138/rllib-torch-maddpg
PyTorch implementation of MADDPG (Lowe et al.) in RLLib
  • * requirements.txt

Size: 82 KB - Last synced: 3 days ago - Pushed: about 2 years ago

RaymondKoopmanschap/ray_mod Fork of ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 217 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

ju2ez/ray Fork of ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
  • ==3.7.0 python/requirements/ml/requirements_rllib.txt

Size: 259 MB - Last synced: about 1 month ago - Pushed: about 1 year ago

daveey/platypus-nmmo-nips
  • ==3.3.5 requirements.txt

Size: 316 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

vwxyzjn/cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
  • ==3.4.0 requirements/requirements-envpool.txt
  • ==3.4.0 requirements/requirements-atari.txt
  • ==3.4.0 requirements/requirements-cloud.txt
  • ==3.4.0 requirements/requirements-jax.txt
  • ==3.4.0 requirements/requirements-docs.txt
  • ==3.4.0 requirements/requirements-mujoco_py.txt
  • ==3.4.0 requirements/requirements-pettingzoo.txt
  • ==3.4.0 requirements/requirements-procgen.txt
  • ==3.4.0 requirements/requirements.txt

Size: 133 MB - Last synced: 26 days ago - Pushed: about 1 month ago

NKcqx/ray Fork of alipay/ant-ray
A high-performance distributed execution engine
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 239 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

duihuhu/ray Fork of ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 264 MB - Last synced: 3 months ago - Pushed: 3 months ago

cool-RR/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 262 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

yuduber/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 252 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

pcheema-scribd/ray Fork of ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 242 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

fyqqyf/cleanrl Fork of vwxyzjn/cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC)
  • 3.3.4 poetry.lock
  • ^3.3.3 pyproject.toml

Size: 54.2 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

tomsunelite/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 279 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

juliusfrost/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • * python/requirements/ml/requirements_rllib.txt

Size: 126 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

pabloem/ray Fork of ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 250 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

smorad/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 252 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

avivhaber/ray Fork of ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 246 MB - Last synced: 11 months ago - Pushed: over 1 year ago

minds-ai/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==3.7.0 python/requirements/ml/requirements_rllib.txt

Size: 350 MB - Last synced: about 1 month ago - Pushed: about 2 months ago

kyokagong/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==2.6.6 python/requirements/ml/requirements_rllib.txt

Size: 139 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

zoltan-fedor/ray Fork of ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
  • ==3.7.0 python/requirements/ml/requirements_rllib.txt

Size: 246 MB - Last synced: 10 months ago - Pushed: over 1 year ago

jseppanen/cleanrl Fork of vwxyzjn/cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
  • 3.4.0 poetry.lock

Size: 133 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

scottsun94/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==3.7.0 python/requirements/ml/requirements_rllib.txt

Size: 314 MB - Last synced: 9 months ago - Pushed: 9 months ago

dosssman/cleanrl Fork of vwxyzjn/cleanrl
RL library for researchers. Hackability, readability, and great experiment management are this library's top priority.
  • ==3.4.0 requirements/requirements-pettingzoo.txt

Size: 130 MB - Last synced: 9 months ago - Pushed: 9 months ago

ilee300a/ray Fork of ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 230 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

jovany-wang/ray Fork of ray-project/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.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 307 MB - Last synced: 9 months ago - Pushed: 9 months ago

hartikainen/ray Fork of ray-project/ray
A high-performance distributed execution engine
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 159 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

xychu/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 318 MB - Last synced: 8 months ago - Pushed: 8 months ago

pengzhenghao/ray Fork of ray-project/ray
A system for parallel and distributed Python that unifies the ML ecosystem.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 161 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

ggdupont/ray Fork of ray-project/ray
A system for parallel and distributed Python that unifies the ML ecosystem.
  • ==2.6.6 python/requirements/ml/requirements_rllib.txt

Size: 142 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

BeSky/ray Fork of ray-project/ray
A high-performance distributed execution engine
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 343 MB - Last synced: 21 days ago - Pushed: 21 days ago

JiahaoYao/ray Fork of ray-project/ray
A system for parallel and distributed Python that unifies the ML ecosystem.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 216 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

neigh80/ray Fork of ray-project/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.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 164 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

jinnovation/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 154 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

bladesaber/ray Fork of ray-project/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.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 160 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

thomasjpfan/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==3.3.2 python/requirements/ml/requirements_rllib.txt

Size: 153 MB - Last synced: 24 days ago - Pushed: about 1 year ago

fwitter/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 219 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

WZRPW/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 161 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

YarShev/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 216 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

czgdp1807/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==3.3.2 python/requirements/ml/requirements_rllib.txt

Size: 177 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

jiaodong/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==3.7.0 python/requirements/ml/requirements_rllib.txt

Size: 251 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

LuBingtan/ray Fork of ray-project/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.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 170 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

mvindiola1/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 215 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

whiledoing/ray Fork of ray-project/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.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 202 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

ZhianLin/ray Fork of ray-project/ray
A high-performance distributed execution engine
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 223 MB - Last synced: about 1 month ago - Pushed: about 1 year ago

simon-mo/ray Fork of ray-project/ray
A high-performance distributed execution engine
  • ==3.7.0 python/requirements/ml/requirements_rllib.txt

Size: 250 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

goliaro/ray Fork of ray-project/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.
  • ==2.6.6 python/requirements/ml/requirements_rllib.txt

Size: 128 MB - Last synced: about 1 month ago - Pushed: about 1 year ago

classicvalues/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 180 MB - Last synced: 19 days ago - Pushed: 19 days ago

XinYao1994/ray Fork of ray-project/ray
A fast and simple framework for building and running distributed applications.
  • ==3.7.0 python/requirements/ml/requirements_rllib.txt

Size: 337 MB - Last synced: 3 months ago - Pushed: 3 months ago

ckw017/ray Fork of ray-project/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 279 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

MissiontoMars/ray Fork of ray-project/ray
A system for parallel and distributed Python that unifies the ML ecosystem.
  • ==3.3.3 python/requirements/ml/requirements_rllib.txt

Size: 351 MB - Last synced: about 1 month ago - Pushed: about 1 month ago