Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Ray | 29,596 | 80 | 363 | a year 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. | ||||||||||
Hyperopt | 6,979 | 252 | 248 | a year ago | 13 | November 17, 2021 | 258 | other | Python | |
Distributed Asynchronous Hyperparameter Optimization in Python | ||||||||||
Awesome Automl Papers | 3,607 | 2 years ago | 1 | apache-2.0 | ||||||
A curated list of automated machine learning papers, articles, tutorials, slides and projects | ||||||||||
Scikit Optimize | 2,700 | 80 | 191 | a year ago | 19 | October 12, 2021 | 320 | bsd-3-clause | Python | |
Sequential model-based optimization with a `scipy.optimize` interface | ||||||||||
Auto Pytorch | 2,158 | a year ago | 5 | November 23, 2021 | 71 | apache-2.0 | Python | |||
Automatic architecture search and hyperparameter optimization for PyTorch | ||||||||||
Hyperas | 2,147 | 21 | 3 | 2 years ago | 9 | February 28, 2019 | 94 | mit | Python | |
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization | ||||||||||
Rl Baselines3 Zoo | 1,640 | 2 | a year ago | 18 | November 17, 2023 | 54 | mit | Python | ||
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included. | ||||||||||
Talos | 1,596 | a year ago | 10 | mit | Python | |||||
Hyperparameter Optimization for TensorFlow, Keras and PyTorch | ||||||||||
Vizier | 1,142 | 3 | a year ago | 35 | November 30, 2023 | 44 | apache-2.0 | Python | ||
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service. | ||||||||||
Gradient Free Optimizers | 1,072 | 7 | a year ago | 45 | December 29, 2022 | 7 | mit | Python | ||
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces. |