| ray-project/ray |
29,596 |
|
80 |
363 |
about 2 years 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. |
| microsoft/nni |
13,536 |
|
8 |
27 |
over 2 years ago |
55 |
September 14, 2023 |
342 |
mit |
Python |
| An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning. |
| autogluon/autogluon |
9,843 |
|
0 |
14 |
3 months ago |
1,168 |
December 10, 2023 |
299 |
apache-2.0 |
Python |
| Fast and Accurate ML in 3 Lines of Code |
| EpistasisLab/tpot |
9,385 |
|
40 |
22 |
over 2 years ago |
62 |
August 15, 2023 |
284 |
lgpl-3.0 |
Python |
| A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. |
| automl/auto-sklearn |
7,262 |
|
15 |
24 |
over 2 years ago |
42 |
September 20, 2022 |
185 |
bsd-3-clause |
Python |
| Automated Machine Learning with scikit-learn |
| hibayesian/awesome-automl-papers |
3,607 |
|
0 |
0 |
over 3 years ago |
0 |
|
1 |
apache-2.0 |
|
| A curated list of automated machine learning papers, articles, tutorials, slides and projects |
| microsoft/FLAML |
3,500 |
|
0 |
11 |
about 2 years ago |
92 |
October 02, 2023 |
210 |
mit |
Jupyter Notebook |
| A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP. |
| mljar/mljar-supervised |
2,867 |
|
0 |
2 |
about 2 years ago |
84 |
September 26, 2023 |
141 |
mit |
Python |
| Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation |
| keras-team/keras-tuner |
2,795 |
|
2 |
60 |
over 2 years ago |
34 |
November 07, 2023 |
203 |
apache-2.0 |
Python |
| A Hyperparameter Tuning Library for Keras |
| automl/Auto-PyTorch |
2,158 |
|
0 |
0 |
over 2 years ago |
5 |
November 23, 2021 |
71 |
apache-2.0 |
Python |
| Automatic architecture search and hyperparameter optimization for PyTorch |