| 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 |
| alteryx/featuretools |
6,940 |
|
35 |
43 |
about 2 years ago |
103 |
October 26, 2023 |
176 |
bsd-3-clause |
Python |
| An open source python library for automated feature engineering |
| 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 |
| AutoViML/AutoViz |
1,550 |
|
0 |
7 |
over 2 years ago |
75 |
October 30, 2023 |
1 |
apache-2.0 |
Python |
| Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request. |
| ClimbsRocks/auto_ml |
1,442 |
|
1 |
6 |
almost 7 years ago |
78 |
February 22, 2018 |
182 |
mit |
Python |
| [UNMAINTAINED] Automated machine learning for analytics & production |
| reiinakano/xcessiv |
1,232 |
|
1 |
0 |
almost 8 years ago |
34 |
August 21, 2017 |
22 |
apache-2.0 |
Python |
| A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python. |
| AutoViML/Auto_ViML |
546 |
|
0 |
2 |
about 1 year ago |
142 |
June 01, 2022 |
2 |
apache-2.0 |
Python |
| Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request. |
