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15 repos shown

Topic: hyperparameter-optimization

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ray-project/ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

AI dev

Stack

Python Celery FastAPI pytest React Maven npm PEP 517

GitHub topics

#data-science #deep-learning #deployment #distributed #hyperparameter-optimization #hyperparameter-search

Updated: 2026-09-11
Lists: 5 list mentions
First commit: 2016-02-07
History: 10 history points
License: Apache-2.0
Issues: 3,571 open

43,770

stars

Forks: 8,019
Commits: 31,669 commits
Star growth, last 7 days: 0 0.0%
Commit velocity, last 7 days: 0 0.0%

Website GitHub

optuna/optuna

A hyperparameter optimization framework

Stack

Python pytest uv

GitHub topics

#distributed #hyperparameter-optimization #machine-learning #parallel #python

Updated: 2026-09-07
Lists: 3 list mentions
First commit: 2018-01-11
History: 9 history points
License: MIT
Issues: 22 open

14,767

stars

Forks: 1,383
Commits: 21,707 commits
Star growth, last 7 days: No 7-day history
Commit velocity, last 7 days: No 7-day history

Website GitHub

autogluon/autogluon

Fast and Accurate ML in 3 Lines of Code

Stack

Python PEP 517 pip uv

GitHub topics

#autogluon #automated-machine-learning #automl #computer-vision #data-science #deep-learning

Updated: 2026-09-04
Lists: 2 list mentions
First commit: 2019-05-08
History: 9 history points
License: Apache-2.0
Issues: 385 open

10,635

stars

Forks: 1,185
Commits: 3,026 commits
Star growth, last 7 days: No 7-day history
Commit velocity, last 7 days: No 7-day history

Website GitHub

EpistasisLab/tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Stack

Jupyter Notebook pytest PEP 517

GitHub topics

#adsp #ag066833 #aiml #alzheimer #alzheimers #automated-machine-learning

Updated: 2025-09-11
Lists: 2 list mentions
First commit: 2023-03-24
History: 8 history points
License: LGPL-3.0
Issues: 312 open

10,052

stars

Forks: 1,562
Commits: 551 commits
Star growth, last 7 days: No 7-day history
Commit velocity, last 7 days: No 7-day history

Website GitHub

automl/auto-sklearn

Automated Machine Learning with scikit-learn

Stack

Python PEP 517 pip

GitHub topics

#automated-machine-learning #automl #bayesian-optimization #hyperparameter-optimization #hyperparameter-search #hyperparameter-tuning

Updated: 2026-06-29
Lists: 1 list mention
First commit: 2014-05-19
History: 8 history points
License: BSD-3-Clause
Issues: 207 open

8,126

stars

Forks: 1,324
Commits: 2,759 commits
Star growth, last 7 days: No 7-day history
Commit velocity, last 7 days: No 7-day history

Website GitHub

microsoft/FLAML

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

AI dev

Stack

Jupyter Notebook Jupyter pytest React npm PEP 517 pip

GitHub topics

#automated-machine-learning #automl #classification #data-science #deep-learning #finetuning

Updated: 2026-09-09
Lists: 1 list mention
First commit: 2020-12-04
History: 7 history points
License: MIT
Issues: 179 open

4,391

stars

Forks: 563
Commits: 903 commits
Star growth, last 7 days: 0 0.0%
Commit velocity, last 7 days: 0 0.0%

Website GitHub

polyaxon/polyaxon

AI Infra / AI Orchestration / AI Control Plane

Stack

MDX

GitHub topics

#agents #artificial-intelligence #data-science #deep-learning #harness #hyperparameter-optimization

Updated: 2026-08-31
Lists: 4 list mentions
First commit: 2016-03-25
History: 8 history points
License: Apache-2.0
Issues: 126 open

3,727

stars

Forks: 331
Commits: 10,416 commits
Star growth, last 7 days: No 7-day history
Commit velocity, last 7 days: No 7-day history

Website GitHub

DLR-RM/rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

Stack

Python PEP 517 pip uv

GitHub topics

#deep-reinforcement-learning #gym #hyperparameter-optimization #hyperparameter-search #hyperparameter-tuning #lab

Updated: 2026-09-04
Lists: 1 list mention
First commit: 2019-10-14
History: 7 history points
License: MIT
Issues: 65 open

2,872

stars

Forks: 604
Commits: 407 commits
Star growth, last 7 days: No 7-day history
Commit velocity, last 7 days: No 7-day history

Website GitHub

scikit-optimize/scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

Archived

Stack

Python pytest PEP 517 pip

GitHub topics

#bayesian-optimization #bayesopt #binder #hacktoberfest #hyperparameter #hyperparameter-optimization

Updated: 2024-02-23
Lists: 1 list mention
First commit: 2016-03-20
History: 8 history points
License: BSD-3-Clause
Issues: 318 open

2,828

stars

Forks: 559
Commits: 1,570 commits
Star growth, last 7 days: No 7-day history
Commit velocity, last 7 days: No 7-day history

Website GitHub

maxpumperla/hyperas

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

Stack

Python Jupyter pip

GitHub topics

#hyperopt #hyperparameter-optimization #keras

Updated: 2023-01-05
Lists: 1 list mention
First commit: 2016-02-19
History: 8 history points
License: MIT
Issues: 97 open

2,173

stars

Forks: 315
Commits: 213 commits
Star growth, last 7 days: No 7-day history
Commit velocity, last 7 days: No 7-day history

Website GitHub

autonomio/talos

Hyperparameter Experiments with TensorFlow and Keras

Stack

Python PEP 517 pip

GitHub topics

#artificial-intelligence #deep-learning #hyperparameter-optimization #keras #keras-tensorflow #tensorflow

Updated: 2024-04-22
Lists: 1 list mention
First commit: 2018-05-04
History: 8 history points
License: MIT
Issues: 13 open

1,636

stars

Forks: 266
Commits: 671 commits
Star growth, last 7 days: No 7-day history
Commit velocity, last 7 days: No 7-day history

Website GitHub

automl/SMAC3

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Stack

Python PEP 517 pip

GitHub topics

#algorithm-configuration #automated-machine-learning #automl #bayesian-optimisation #bayesian-optimization #configuration

Updated: 2026-08-23
Lists: 1 list mention
First commit: 2015-09-08
History: 8 history points
License: NOASSERTION
Issues: 127 open

1,243

stars

Forks: 245
Commits: 2,831 commits
Star growth, last 7 days: No 7-day history
Commit velocity, last 7 days: No 7-day history

Website GitHub

jmrichardson/tuneta

Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

Archived

Stack

Python pip

GitHub topics

#correlation #finance #hyperparameter-optimization #machine-learning #optimize #optuna

Updated: 2023-10-13
Lists: 1 list mention
First commit: 2021-01-20
History: 4 history points
License: MIT
Issues: 5 open

462

stars

Forks: 79
Commits: 183 commits
Star growth, last 7 days: No 7-day history
Commit velocity, last 7 days: No 7-day history

GitHub

rodrigo-arenas/Sklearn-genetic-opt

Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.

AI dev

Stack

Python pytest Vite Vue npm PEP 517

GitHub topics

#artificial-intelligence #automl #cross-validation #evolutionary-algorithms #feature-engineering #feature-selection

Updated: 2026-08-05
Lists: 2 list mentions
First commit: 2020-01-18
History: 8 history points
License: MIT
Issues: 16 open

388

stars

Forks: 137
Commits: 789 commits
Star growth, last 7 days: No 7-day history
Commit velocity, last 7 days: No 7-day history

Website GitHub

GPflow/GPflowOpt

Bayesian Optimization using GPflow

Stack

Python Jupyter pip

GitHub topics

#bayesian-optimization #gpflow #hyperparameter-optimization #machine-learning

Updated: 2020-12-02
Lists: 1 list mention
First commit: 2017-04-28
History: 8 history points
License: Apache-2.0
Issues: 29 open

276

stars

Forks: 60
Commits: 427 commits
Star growth, last 7 days: No 7-day history
Commit velocity, last 7 days: No 7-day history

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