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Package Usage: pypi: zoopt
A Python Package for Zeroth-Order Optimization
9 versions
Latest release: over 2 years ago
1 dependent package
28,390 downloads last month
View more package details: https://packages.ecosyste.ms/registries/pypi.org/packages/zoopt
View more repository details: https://repos.ecosyste.ms/hosts/GitHub/repositories/polixir%2FZOOpt
Dependent Repos 175
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.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 356 MB - Last synced: 16 days ago - Pushed: 17 days ago
behnamh217rn21/ray-master
- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 14.9 MB - Last synced: about 1 year ago - Pushed: about 1 year ago
rohankumardubey/ray
- ==0.4.1 python/requirements/ml/requirements_tune.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.- ==0.4.1 python/requirements/ml/requirements_tune.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.- ==0.4.1 python/requirements/ml/requirements_tune.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.- ==0.4.1 python/requirements/ml/requirements_tune.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.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 284 MB - Last synced: 12 months ago - Pushed: 12 months ago
mlutils/beamds
- * docker/install/requirements_0009.txt
Size: 45.4 MB - Last synced: about 9 hours ago - Pushed: about 10 hours 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.- ==0.4.1 python/requirements/ml/requirements_tune.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.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 221 MB - Last synced: about 1 year ago - Pushed: over 1 year ago
alindkhare/ray Fork of ray-project/ray
A fast and simple framework for building and running distributed applications.- ==0.4.1 python/requirements/requirements_tune.txt
Size: 110 MB - Last synced: 9 months ago - Pushed: over 1 year ago
vishalbelsare/ray Fork of ray-project/ray
A high-performance distributed execution engine- ==0.4.1 python/requirements/ml/requirements_tune.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.- ==0.4.1 python/requirements/ml/requirements_tune.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.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 276 MB - Last synced: about 1 year ago - Pushed: about 1 year ago
ray-project/maze-raylit
Hackathon 2020! Max Archit Zhe- >=0.4.1 python/requirements_tune.txt
Size: 95.4 MB - Last synced: 10 months ago - Pushed: over 3 years 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.- ==0.4.1 python/requirements/ml/requirements_tune.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.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 275 MB - Last synced: about 1 year ago - Pushed: about 1 year ago
maplefallfrost/GAT-Stroke
Graph attention network for stroke classification- ==0.2.3 requirements.txt
Size: 79.1 KB - Last synced: about 1 month ago - Pushed: almost 2 years ago
merlinepedra25/RAY-1
- ==0.4.1 python/requirements/ml/requirements_tune.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.- ==0.4.1 python/requirements/ml/requirements_tune.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.- ==0.4.1 python/requirements/ml/requirements_tune.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.- ==0.4.1 python/requirements/ml/requirements_tune.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.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 352 MB - Last synced: 17 days ago - Pushed: 23 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.- ==0.4.1 python/requirements/ml/requirements_tune.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.- ==0.4.1 python/requirements/ml/requirements_tune.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.- ==0.4.1 python/requirements/ml/tune-test-requirements.txt
- ==0.4.1 python/requirements_compiled.txt
Size: 375 MB - Last synced: about 1 month ago - Pushed: about 1 month ago
AlexLiuyuren/ZOOpt_experiment
- ==0.4.0 requirements.txt
Size: 112 MB - Last synced: 10 months ago - Pushed: over 2 years ago
act3-ace/SafeRL
- ==0.4.1 requirements.txt
Size: 145 MB - Last synced: 2 months ago - Pushed: 2 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.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 282 MB - Last synced: about 1 year ago - Pushed: about 1 year ago
lzt-pro/ray
- >=0.4.0 docker/tune_test/requirements.txt
Size: 45.8 MB - Last synced: about 1 year ago - Pushed: over 1 year ago
PavelCz/ray-testbed
- ==0.4.1 python/requirements/ml/requirements_tune.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.- ==0.4.1 python/requirements/ml/requirements_tune.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.- ==0.4.1 python/requirements/ml/requirements_tune.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.- ==0.4.1 python/requirements/ml/requirements_tune.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.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 259 MB - Last synced: 25 days ago - Pushed: about 1 year ago
spear-ai/ray-neural-mmo 📦
Ray framework with neural-mmo compatibility hacks- ==0.4.1 python/requirements/tune/requirements_tune.txt
Size: 129 MB - Last synced: 25 days ago - Pushed: about 2 years ago
MLTransfer/MLEncrypt-Research
Hyperparameter Optimization of Tree Parity Machines to Minimize the Effectiveness of Unconventional Attacks on Neural Cryptography​.- 0.4.0 poetry.lock
- ==0.4.0 requirements.txt
Size: 3.55 MB - Last synced: about 1 year ago - Pushed: over 1 year ago
ipark/cs298-thesis2
Deep Reinforcement Learning for Multi-Walker Environments- >=0.4.0 code/LocalRay/ray_github/python/requirements_tune.txt
Last synced: over 1 year ago
denmedius/pyaudisam
Python module for automation of Distance Sampling analyses with Distance software (http://distancesampling.org/)- >=0.4 requirements.txt
Size: 7.53 MB - Last synced: about 1 month ago - Pushed: about 1 month ago
NKcqx/ray Fork of alipay/ant-ray
A high-performance distributed execution engine- ==0.4.1 python/requirements/ml/requirements_tune.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.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 264 MB - Last synced: 3 months ago - Pushed: 3 months ago
armando-fandango/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.- ==0.4.1 python/requirements/requirements_tune.txt
Size: 110 MB - Last synced: about 1 year ago - Pushed: over 1 year 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.- ==0.4.1 python/requirements/ml/requirements_tune.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.- ==0.4.1 python/requirements/ml/requirements_tune.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.- ==0.4.1 python/requirements/ml/requirements_tune.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.- ==0.4.1 python/requirements/ml/requirements_tune.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.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 126 MB - Last synced: about 1 year ago - Pushed: over 1 year ago
Jeffwan/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.- ==0.4.1 python/requirements/requirements_tune.txt
Size: 120 MB - Last synced: 10 months ago - Pushed: over 1 year ago
ttumiel/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.- ==0.4.1 python/requirements/requirements_tune.txt
Size: 107 MB - Last synced: about 1 year ago - Pushed: about 1 year ago
lssr/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.- ==0.4.1 python/requirements/requirements_tune.txt
Size: 105 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.- ==0.4.1 python/requirements/ml/requirements_tune.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.- ==0.4.1 python/requirements/ml/requirements_tune.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.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 246 MB - Last synced: 11 months ago - Pushed: over 1 year ago
decanbay/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.- >=0.4.0 python/requirements_tune.txt
Size: 60.6 MB - Last synced: about 1 year ago - Pushed: over 1 year ago
Bvaudin/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.- >=0.4.0 docker/tune_test/requirements.txt
Size: 55 MB - Last synced: about 1 year ago - Pushed: over 1 year ago
AmeerHajAli/ray2
- >=0.4.0 python/requirements_tune.txt
Size: 60.3 MB - Last synced: about 1 year 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.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 350 MB - Last synced: 25 days ago - Pushed: about 1 month ago
mzahran001/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.- >=0.4.0 python/requirements_tune.txt
Size: 63.7 MB - Last synced: about 1 year ago - Pushed: about 1 year ago
yurirocha15/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.- ==0.4.1 python/requirements/linux-py3.6-requirements_tune.txt
- ==0.4.1 python/requirements/linux-py3.7-requirements_tune.txt
- ==0.4.1 python/requirements/requirements_tune.in
Size: 108 MB - Last synced: about 1 year ago - Pushed: about 1 year ago
jgonik/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.- ==0.4.1 python/requirements/tune/requirements_tune.txt
Size: 116 MB - Last synced: about 1 year ago - Pushed: about 1 year 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.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 139 MB - Last synced: about 1 year ago - Pushed: over 1 year ago
niole/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.- ==0.4.1 python/requirements/linux-py3.6-requirements_tune.txt
- ==0.4.1 python/requirements/linux-py3.7-requirements_tune.txt
- ==0.4.1 python/requirements/linux-py3.8-requirements_tune.txt
- ==0.4.1 python/requirements/requirements_tune.in
Size: 106 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.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 246 MB - Last synced: 10 months ago - Pushed: over 1 year ago
richardliaw/ray Fork of ray-project/ray
An experimental distributed execution engine- >=0.4.1 python/requirements_tune.txt
Size: 332 MB - Last synced: 8 months ago - Pushed: 8 months 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.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 314 MB - Last synced: 8 months ago - Pushed: 8 months ago
pdames/amazon-ray Fork of amzn/amazon-ray
Staging area for ongoing enhancements to Ray focused on improving integration with AWS and other Amazon technologies.- ==0.4.1 python/requirements/linux-py3.6-requirements_tune.txt
- ==0.4.1 python/requirements/linux-py3.7-requirements_tune.txt
- ==0.4.1 python/requirements/linux-py3.8-requirements_tune.txt
- ==0.4.1 python/requirements/requirements_tune.in
Size: 104 MB - Last synced: about 1 year ago - Pushed: over 1 year 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.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 230 MB - Last synced: about 1 year ago - Pushed: about 1 year ago
hartikainen/ray Fork of ray-project/ray
A high-performance distributed execution engine- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 159 MB - Last synced: about 1 year ago - Pushed: over 1 year ago
pengzhenghao/ray Fork of ray-project/ray
A system for parallel and distributed Python that unifies the ML ecosystem.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 161 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.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 307 MB - Last synced: 9 months ago - Pushed: 9 months 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.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 161 MB - Last synced: about 1 year ago - Pushed: about 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.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 318 MB - Last synced: 7 months ago - Pushed: 7 months ago
ggdupont/ray Fork of ray-project/ray
A system for parallel and distributed Python that unifies the ML ecosystem.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 142 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.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 216 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.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 202 MB - Last synced: about 1 year 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.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 219 MB - Last synced: about 1 year ago - Pushed: about 1 year ago
JiahaoYao/ray Fork of ray-project/ray
A system for parallel and distributed Python that unifies the ML ecosystem.- ==0.4.1 python/requirements/ml/requirements_tune.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.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 164 MB - Last synced: about 1 year ago - Pushed: about 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.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 170 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.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 160 MB - Last synced: about 1 year ago - Pushed: over 1 year ago
ZhianLin/ray Fork of ray-project/ray
A high-performance distributed execution engine- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 223 MB - Last synced: about 1 month ago - Pushed: about 1 year ago
BeSky/ray Fork of ray-project/ray
A high-performance distributed execution engine- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 343 MB - Last synced: 15 days ago - Pushed: 15 days ago
simon-mo/ray Fork of ray-project/ray
A high-performance distributed execution engine- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 250 MB - Last synced: about 1 year ago - Pushed: about 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.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 153 MB - Last synced: 17 days ago - Pushed: about 1 year ago
vuoristo/ray Fork of ray-project/ray
A system for parallel and distributed Python that unifies the ML ecosystem.- ==0.4.1 python/requirements/requirements_tune.txt
Size: 109 MB - Last synced: 9 months ago - Pushed: over 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.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 128 MB - Last synced: 26 days 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.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 180 MB - Last synced: 12 days ago - Pushed: 12 days 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.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 177 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.- ==0.4.1 python/requirements/ml/requirements_tune.txt
Size: 154 MB - Last synced: 12 months ago - Pushed: about 1 year ago
