Project Name	Stars	Repos Using This	Packages Using This	Most Recent Commit	Total Releases	Latest Release	Open Issues	License	Language
Ray	29,596	80	363	4 months ago	95	December 04, 2023	3,528	apache-2.0	Python
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.
Agilerl	457			4 months ago				apache-2.0	Python
Streamlining reinforcement learning with RLOps
Hypernets	256		8	4 months ago	18	May 31, 2022	1	apache-2.0	Python
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
Pyxab	135			9 months ago	17	June 17, 2023	2	mit	Python
PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms
Awesome Artificial Intelligence Research	80			a year ago
A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.
Dacbench	25			4 months ago			34	apache-2.0	PDDL
A benchmark library for Dynamic Algorithm Configuration.
Neural Architecture Search	11			6 years ago					Python
Re-implementation of Neural Architecture Search using Reinforcement Learning
Augmentedneuralarchitecturesearch_with_reinforce	8			6 years ago					Python

Dp Hyperparamtuning	6			3 years ago				mit	Jupyter Notebook
DP-HyperparamTuning offers an array of tools for fast and easy hypertuning of various hyperparameters for the DP-SGD algorithm.

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Ray ⭐ 29,596

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.

dependent packages 363total releases 95most recent commit 4 months ago

Agilerl ⭐ 457

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Hypernets ⭐ 256

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Dacbench ⭐ 25

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Neural Architecture Search ⭐ 11

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Augmentedneuralarchitecturesearch_with_reinforce ⭐ 8

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Dp Hyperparamtuning ⭐ 6

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Augmentedneuralarchitecturesearch_with_reinforce vs Awesome Artificial Intelligence Research

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