| 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. |
| keras-team/autokeras |
9,023 |
|
7 |
5 |
over 2 years ago |
58 |
January 28, 2023 |
132 |
apache-2.0 |
Python |
| AutoML library for deep learning |
| 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 |
| tensorflow/adanet |
3,309 |
|
2 |
1 |
almost 5 years ago |
13 |
July 09, 2020 |
66 |
apache-2.0 |
Jupyter Notebook |
| Fast and flexible AutoML with learning guarantees. |
| quark0/darts |
2,775 |
|
0 |
0 |
over 6 years ago |
0 |
|
71 |
apache-2.0 |
Python |
| Differentiable architecture search for convolutional and recurrent networks |
| carpedm20/ENAS-pytorch |
2,242 |
|
0 |
0 |
about 6 years ago |
0 |
|
36 |
apache-2.0 |
Python |
| PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing" |
| D-X-Y/Awesome-AutoDL |
2,190 |
|
0 |
0 |
over 3 years ago |
4 |
March 20, 2022 |
1 |
mit |
Python |
| Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis) |
| D-X-Y/AutoDL-Projects |
1,540 |
|
0 |
0 |
about 4 years ago |
2 |
August 14, 2021 |
6 |
mit |
Python |
| Automated deep learning algorithms implemented in PyTorch. |
| chaoyanghe/Awesome-Federated-Learning |
1,481 |
|
0 |
0 |
almost 4 years ago |
0 |
|
3 |
|
|
| FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai |
| THUMNLab/AutoGL |
1,035 |
|
0 |
0 |
over 2 years ago |
0 |
|
14 |
apache-2.0 |
Python |
| An autoML framework & toolkit for machine learning on graphs. |
