kirushyk/le
Low-level Machine Learning Library
This is a machine learning library built for developers who want to implement or experiment with ML models at a low level. It allows you to build models like Polynomial Regression, SVMs, and Neural Networks using C, C++, or Python. It's ideal for those who want to understand the underlying mechanics of machine learning algorithms or experiment with custom implementations.
No commits in the last 6 months.
Use this if you are a machine learning engineer or researcher who wants fine-grained control over model implementations and optimization algorithms, especially for learning or experimental purposes.
Not ideal if you need a high-level library for rapid prototyping or deploying standard machine learning models without delving into low-level details.
Stars
26
Forks
4
Language
C
License
MIT
Category
Last pushed
Feb 01, 2025
Commits (30d)
0
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