| 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. |
| rasbt/python-machine-learning-book |
11,645 |
|
0 |
0 |
over 3 years ago |
0 |
|
11 |
mit |
Jupyter Notebook |
| The "Python Machine Learning (1st edition)" book code repository and info resource |
| rushter/MLAlgorithms |
9,318 |
|
0 |
0 |
about 3 years ago |
0 |
|
10 |
mit |
Python |
| Minimal and clean examples of machine learning algorithms implementations |
| therealsreehari/Learn-Data-Science-For-Free |
4,899 |
|
0 |
0 |
about 3 years ago |
0 |
|
5 |
gpl-3.0 |
|
| This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in Twitter. |
| zotroneneis/machine_learning_basics |
3,754 |
|
0 |
0 |
over 3 years ago |
0 |
|
2 |
mit |
Jupyter Notebook |
| Plain python implementations of basic machine learning algorithms |
| nidhaloff/igel |
3,037 |
|
0 |
0 |
about 3 years ago |
34 |
November 19, 2021 |
6 |
mit |
Python |
| a delightful machine learning tool that allows you to train, test, and use models without writing code |
| tirthajyoti/Papers-Literature-ML-DL-RL-AI |
1,798 |
|
0 |
0 |
about 3 years ago |
0 |
|
1 |
mit |
|
| Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning |
| symisc/sod |
1,651 |
|
0 |
0 |
over 2 years ago |
0 |
|
5 |
other |
C |
| An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable) |
| jermwatt/machine_learning_refined |
1,247 |
|
0 |
0 |
about 3 years ago |
0 |
|
1 |
other |
Python |
| Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press). |
| KeKe-Li/tutorial |
800 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
apache-2.0 |
|
| Deeplearning Algorithms Tutorial |
