| d2l-ai/d2l-en |
20,613 |
|
0 |
0 |
about 2 years ago |
2 |
November 13, 2022 |
115 |
other |
Python |
| Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge. |
| wandb/wandb |
7,760 |
|
39 |
622 |
about 2 years ago |
266 |
December 05, 2023 |
1,040 |
mit |
Python |
| 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API. |
| polyaxon/polyaxon |
3,438 |
|
4 |
12 |
about 2 years ago |
418 |
December 09, 2023 |
122 |
apache-2.0 |
|
| MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle |
| 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 |
| determined-ai/determined |
2,715 |
|
0 |
1 |
about 2 years ago |
221 |
April 24, 2021 |
142 |
apache-2.0 |
Go |
| Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow. |
| maxpumperla/hyperas |
2,147 |
|
21 |
3 |
over 3 years ago |
9 |
February 28, 2019 |
94 |
mit |
Python |
| Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization |
| autonomio/talos |
1,596 |
|
0 |
0 |
over 2 years ago |
0 |
|
10 |
mit |
Python |
| Hyperparameter Optimization for TensorFlow, Keras and PyTorch |
| 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 |
| williamFalcon/test-tube |
719 |
|
9 |
17 |
over 3 years ago |
64 |
December 01, 2019 |
27 |
mit |
JavaScript |
| Python library to easily log experiments and parallelize hyperparameter search for neural networks |
| HunterMcGushion/hyperparameter_hunter |
635 |
|
1 |
0 |
about 5 years ago |
16 |
June 14, 2018 |
37 |
mit |
Python |
| Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries |
