jankrepl/mildlyoverfitted
Paper implementations from scratch and machine learning tutorials
This project provides practical, hands-on code examples and explanations for various machine learning and deep learning concepts. It takes academic papers, theoretical ideas, or common development challenges and shows how to implement them from scratch. Data scientists, machine learning engineers, and AI researchers can use this to understand core algorithms and deployment strategies through concrete code.
348 stars. No commits in the last 6 months.
Use this if you are a machine learning practitioner who learns best by seeing how complex algorithms and deployment patterns are built from the ground up.
Not ideal if you are looking for a high-level library to integrate into an existing application without needing to understand the underlying implementation details.
Stars
348
Forks
127
Language
Python
License
MIT
Category
Last pushed
Jan 05, 2024
Commits (30d)
0
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