francois-rozet/papers-101
Implementation of papers in 101 lines of code.
This project provides concise, understandable code examples for advanced machine learning concepts, primarily generative models. It takes complex academic papers and distills their core algorithms into brief implementations. Researchers and students in machine learning can use this to grasp the practical application of cutting-edge models.
No commits in the last 6 months.
Use this if you are a machine learning researcher or student looking for simplified, direct code examples to understand recent generative modeling techniques.
Not ideal if you need production-ready code, comprehensive libraries, or implementations of machine learning tasks outside of generative modeling.
Stars
18
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Language
Python
License
MIT
Category
Last pushed
Nov 12, 2023
Commits (30d)
0
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