Ecosyste.ms: Repos

An open API service providing repository metadata for many open source software ecosystems.

Package Usage: pypi: open-spiel

A Framework for Reinforcement Learning in Games
16 versions
Latest release: 12 months ago
2 dependent packages
30,252 downloads last month

View more package details: https://packages.ecosyste.ms/registries/pypi.org/packages/open-spiel

View more repository details: https://repos.ecosyste.ms/hosts/GitHub/repositories/google-deepmind%2Fopen_spiel

Dependent Repos 100

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.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

Size: 356 MB - Last synced: 16 days ago - Pushed: 17 days ago

rohankumardubey/ray
  • ==1.0.2 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.
  • ==1.2 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.
  • ==1.2 python/requirements/ml/requirements_rllib.txt

Size: 377 MB - Last synced: 1 day 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.
  • ==1.2 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.
  • ==1.2 python/requirements/ml/requirements_rllib.txt

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

uduse/moozi
  • ==1.1.0 Pipfile.lock
  • ==1.1.0 requirements.txt

Size: 6.16 MB - Last synced: 17 days ago - Pushed: 3 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.
  • ==1.0.2 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.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

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

BedirT/darkhex
Series of tools to evaluate and examine the game Dark Hex
  • * requirements.txt
  • * setup.py

Size: 117 MB - Last synced: about 2 months ago - Pushed: over 1 year ago

vishalbelsare/ray Fork of ray-project/ray
A high-performance distributed execution engine
  • ==1.0.2 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.
  • ==1.0.2 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.
  • ==1.0.2 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.
  • ==1.2 python/requirements/ml/requirements_rllib.txt

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

ryan-dorazio/mmd-dilated
An implementation of the QRE solver magnetic mirror descent with dilated entropy (MMD).
  • ==1.1.0 setup.py

Size: 358 KB - Last synced: about 1 year ago - Pushed: almost 2 years 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.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

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

merlinepedra25/RAY-1
  • ==1.0.2 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.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

Size: 221 MB - Last synced: about 1 year ago - Pushed: over 1 year 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.
  • ==1.0.2 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.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

Size: 211 MB - Last synced: about 1 year ago - Pushed: over 1 year 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.
  • ==1.2 python/requirements/ml/requirements_rllib.txt

Size: 352 MB - Last synced: 17 days ago - Pushed: 23 days ago

maxspahn/open_spiel_quoridor
Playground for RL boardgame quoridor
  • 1.1.0 poetry.lock
  • ^1.1.0 pyproject.toml

Size: 72.3 KB - Last synced: about 1 month ago - Pushed: almost 2 years 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.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

Size: 216 MB - Last synced: 6 months ago - Pushed: over 1 year 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.
  • ==1.0.2 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.
  • ==1.2 python/requirements/ml/rllib-test-requirements.txt
  • ==1.2 python/requirements_compiled.txt
  • ==1.3 rllib_contrib/alpha_star/pyproject.toml

Size: 375 MB - Last synced: about 1 month ago - Pushed: about 1 month ago

bovle/poker_game_runner
  • ==1.0.2 requirements.txt
  • ==1.0.2 setup.py

Size: 428 KB - Last synced: 6 days ago - Pushed: about 2 years ago

SecurityGames/oef
Repository for the submission of NeurIPS Datasets and Benchmarks Track 2022.
  • ==1.1.1 requirements.txt

Size: 2.75 MB - Last synced: 27 days ago - Pushed: almost 2 years 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.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

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

google-deepmind/dm_hamiltonian_dynamics_suite
  • >=1.0.1 requirements.txt

Size: 52.7 KB - Last synced: about 1 month ago - Pushed: over 2 years 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.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

Size: 347 MB - Last synced: about 1 month ago - Pushed: about 1 month 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.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

Size: 232 MB - Last synced: about 1 year ago - Pushed: over 1 year 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.
  • ==1.0.2 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.
  • ==1.2 python/requirements/ml/requirements_rllib.txt

Size: 259 MB - Last synced: 25 days ago - Pushed: about 1 year ago

NKcqx/ray Fork of alipay/ant-ray
A high-performance distributed execution engine
  • ==1.0.2 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.
  • ==1.0.2 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.
  • ==1.0.2 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.
  • ==1.2 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.
  • ==1.2 python/requirements/ml/requirements_rllib.txt

Size: 242 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.
  • ==1.2 python/requirements/ml/requirements_rllib.txt

Size: 279 MB - Last synced: about 1 year ago - Pushed: about 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.
  • ==1.0.2 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.
  • ==1.2 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.
  • ==1.2 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.
  • ==1.2 python/requirements/ml/requirements_rllib.txt

Size: 350 MB - Last synced: 25 days ago - Pushed: about 1 month ago

Jamesflynn1/CS344-Opponent-Exploitation-Poker
A third year uni project aiming to implement and evaluate the EFR algorithm with different deviation types and explore a potential tradeoff between exploitability and expected value of a strategy in practice.
  • ==1.2 requirements.txt

Size: 5.84 MB - Last synced: 6 months ago - Pushed: 6 months ago

LLNL/Abmarl
Agent Based Modeling and Reinforcement Learning
  • * requirements.txt

Size: 14.3 MB - Last synced: 5 days ago - Pushed: 5 days 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.
  • ==1.2 python/requirements/ml/requirements_rllib.txt

Size: 246 MB - Last synced: 10 months 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.
  • ==1.2 python/requirements/ml/requirements_rllib.txt

Size: 314 MB - Last synced: 8 months ago - Pushed: 8 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.
  • ==1.2 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.
  • ==1.0.2 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
  • ==1.0.2 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.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

Size: 318 MB - Last synced: 7 months ago - Pushed: 7 months ago

pengzhenghao/ray Fork of ray-project/ray
A system for parallel and distributed Python that unifies the ML ecosystem.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

Size: 161 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
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

Size: 343 MB - Last synced: 14 days ago - Pushed: 14 days ago

JiahaoYao/ray Fork of ray-project/ray
A system for parallel and distributed Python that unifies the ML ecosystem.
  • ==1.0.2 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.
  • ==1.0.2 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.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

Size: 154 MB - Last synced: 12 months 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.
  • ==1.0.2 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.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

Size: 153 MB - Last synced: 17 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.
  • ==1.0.2 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.
  • ==1.0.2 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.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

Size: 216 MB - Last synced: about 1 year ago - Pushed: over 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.
  • ==1.2 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.
  • ==1.0.2 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.
  • ==1.0.2 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.
  • ==1.0.2 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
  • ==1.0.2 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
  • ==1.2 python/requirements/ml/requirements_rllib.txt

Size: 250 MB - Last synced: about 1 year 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.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

Size: 180 MB - Last synced: 12 days ago - Pushed: 12 days ago

XinYao1994/ray Fork of ray-project/ray
A fast and simple framework for building and running distributed applications.
  • ==1.2 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.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

Size: 279 MB - Last synced: 12 months ago - Pushed: 12 months ago

MissiontoMars/ray Fork of ray-project/ray
A system for parallel and distributed Python that unifies the ML ecosystem.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

Size: 351 MB - Last synced: 29 days ago - Pushed: 29 days ago

ijrsvt/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.
  • ==1.2 python/requirements/ml/requirements_rllib.txt

Size: 334 MB - Last synced: 4 months ago - Pushed: 4 months ago

bllchmbrs/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.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

Size: 208 MB - Last synced: 12 months ago - Pushed: about 1 year ago

vakker/ray Fork of ray-project/ray
A system for parallel and distributed Python that unifies the ML ecosystem.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

Size: 225 MB - Last synced: 9 months ago - Pushed: over 1 year ago

pdames/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.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

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

guidj/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.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

Size: 212 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

rkenmi/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.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

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

kpavel/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.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

Size: 213 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

tiangolo/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.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

Size: 233 MB - Last synced: 9 days ago - Pushed: about 1 year ago

kisuke95/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.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

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

sriram-anyscale/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.
  • ==1.2 python/requirements/ml/requirements_rllib.txt

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

HumanCompatibleAI/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.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

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

dsctt/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.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

Size: 172 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

suquark/ray Fork of ray-project/ray
A high-performance distributed execution engine
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

Size: 218 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

XuehaiPan/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.
  • ==1.2 python/requirements/ml/requirements_rllib.txt

Size: 351 MB - Last synced: 20 days ago - Pushed: 21 days ago

alipay/ant-ray Fork of ray-project/ray
A high-performance distributed execution engine
  • ==1.2 python/requirements/ml/requirements_rllib.txt

Size: 450 MB - Last synced: 26 days ago - Pushed: 2 months ago

clarng/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.
  • ==1.2 python/requirements/ml/requirements_rllib.txt

Size: 272 MB - Last synced: 6 months ago - Pushed: about 1 year ago

edoakes/ray Fork of ray-project/ray
A fast and simple framework for building and running distributed applications.
  • ==1.2 python/requirements/ml/requirements_rllib.txt

Size: 362 MB - Last synced: 16 days ago - Pushed: 17 days ago

jon-chuang/ray Fork of ray-project/ray
A fast and simple framework for building and running distributed applications.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

Size: 298 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

afzalmushtaque/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.
  • ==1.2 python/requirements/ml/requirements_rllib.txt

Size: 246 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

vladfi1/ray Fork of ray-project/ray
A system for parallel and distributed Python that unifies the ML ecosystem.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

Size: 169 MB - Last synced: about 1 year ago - Pushed: about 1 year ago

AyushExel/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.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

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

hyperscience/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.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

Size: 322 MB - Last synced: 3 months ago - Pushed: 3 months ago

dgfug/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.
  • ==1.0.2 python/requirements/ml/requirements_rllib.txt

Size: 158 MB - Last synced: about 1 year ago - Pushed: about 1 year ago