awesome-ai-ml-dl and Awesome-Data-Science
These are complements that serve different but overlapping learning paths—one provides a comprehensive study guide spanning AI/ML/DL fundamentals and implementations, while the other focuses specifically on curated data science resources, tools, and best practices that practitioners would reference alongside broader ML frameworks.
Maintenance
16/25
Adoption
10/25
Maturity
16/25
Community
25/25
Maintenance
10/25
Adoption
10/25
Maturity
16/25
Community
18/25
Stars: 1,651
Forks: 371
Downloads: —
Commits (30d): 2
Language: Jupyter Notebook
License: —
Stars: 156
Forks: 25
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No Package
No Dependents
No Package
No Dependents
About awesome-ai-ml-dl
neomatrix369/awesome-ai-ml-dl
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
About Awesome-Data-Science
natnew/Awesome-Data-Science
Carefully curated list of awesome data science resources.
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