| eugeneyan/applied-ml |
24,828 |
|
0 |
0 |
over 2 years ago |
0 |
|
3 |
mit |
|
| 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production. |
| d2l-ai/d2l-en |
20,613 |
|
0 |
0 |
over 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. |
| bharathgs/Awesome-pytorch-list |
14,715 |
|
0 |
0 |
over 2 years ago |
0 |
|
4 |
|
|
| A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc. |
| ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code |
14,248 |
|
0 |
0 |
over 2 years ago |
0 |
|
22 |
|
|
| 500 AI Machine learning Deep learning Computer vision NLP Projects with code |
| virgili0/Virgilio |
13,515 |
|
0 |
0 |
almost 4 years ago |
0 |
|
20 |
other |
Jupyter Notebook |
| Your new Mentor for Data Science E-Learning. |
| autogluon/autogluon |
10,499 |
|
0 |
14 |
9 days ago |
1,168 |
December 10, 2023 |
299 |
apache-2.0 |
Python |
| Fast and Accurate ML in 3 Lines of Code |
| ludwig-ai/ludwig |
10,448 |
|
6 |
3 |
over 2 years ago |
47 |
October 13, 2023 |
340 |
apache-2.0 |
Python |
| Low-code framework for building custom LLMs, neural networks, and other AI models |
| microsoft/computervision-recipes |
9,225 |
|
0 |
0 |
over 2 years ago |
0 |
|
66 |
mit |
Jupyter Notebook |
| Best Practices, code samples, and documentation for Computer Vision. |
| voxel51/fiftyone |
6,327 |
|
0 |
10 |
over 2 years ago |
135 |
December 08, 2023 |
473 |
apache-2.0 |
Python |
| The open-source tool for building high-quality datasets and computer vision models |
| therealsreehari/Learn-Data-Science-For-Free |
4,899 |
|
0 |
0 |
over 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. |
