BrianPulfer/PapersReimplementations
Personal short implementations of Machine Learning papers
This collection provides working code examples for various machine learning research papers, primarily in natural language processing and computer vision. It allows researchers and machine learning engineers to see how complex algorithms described in academic papers can be implemented and run, providing a practical companion to theoretical knowledge. You get code implementations, and you can observe how different settings might affect the outcomes compared to original research.
250 stars. No commits in the last 6 months.
Use this if you are a machine learning researcher or engineer looking for practical code examples to understand, experiment with, and adapt algorithms from cutting-edge research papers.
Not ideal if you are looking for production-ready, highly optimized, or officially verified implementations of these papers, as these are personal re-implementations for learning purposes.
Stars
250
Forks
55
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 06, 2024
Commits (30d)
0
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