Github is a free university, but 99% don't know!

I have compiled the 20 Best GitHub Repositories for Data Science:

1. Data Scientist Roadmap: https://github.com/MrMimic/data-scientist-roadmap
2. Learn Data Science: https://github.com/nborwankar/LearnDataScience
3. Awesome Python: https://github.com/vinta/awesome-python
4. Data Science in Python: https://github.com/r0f1/datascience

5. DS Python Notebooks: https://github.com/donnemartin/data-science-ipython-notebooks

6. Awesome Data Science: https://github.com/academic/awesome-datascience
7. Self taught DS: https://github.com/ossu/data-science
8. Time Series Best: https://microsoft.github.io/forecasting/
9. Master Data Science: https://github.com/datasciencemasters/go

10. Best Keras resources: https://github.com/fchollet/keras-resources

11. Pandas exercise: https://github.com/guipsamora/pandas_exercises
12. Keras resources: https://github.com/fchollet/keras-resources
13. Best DS resources: https://github.com/Mohitkr95/Best-Data-Science-Resources
14. Become a Data Engineer: https://github.com/adilkhash/Data-Engineering-HowTo

15. Awesome DE: https://github.com/igorbarinov/awesome-data-engineering

16. Data Science Cheatsheets: https://github.com/FavioVazquez/ds-cheatsheets
17. 1000+ Data Science blogs: https://github.com/rushter/data-science-blogs
18. Free Data Science Books: https://github.com/chaconnewu/free-data-science-books
19. Data Science QnAs: https://github.com/jayinai/data-science-question-answer
20. Data Science interviews: https://github.com/alexeygrigorev/data-science-interviews

Multi-GPU Training Diagram by Avi Chawla

Includes:

• ▶ Model Parallelism
• ▶ Tensor Parallelism
• ▶ Data Parallelism
• ▶ Pipeline Parallelism