| 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. |
| 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. |
| 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 |
| 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. |
| 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. |
| 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. |
| amanchadha/coursera-deep-learning-specialization |
2,459 |
|
0 |
0 |
over 2 years ago |
0 |
|
22 |
|
Jupyter Notebook |
| Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models |
