What is ML-in-C?
ML-in-C is a machine learning library written entirely in pure C. It aims to provide a complete machine learning toolkit with a primary focus on performance, low-level understanding, and experimental development.
The library introduces a foundational datatype called DataFrame, which takes inspiration from the functionality of Pandas' DataFrame while having similar performance and structure to NumPy's ndarray implemented in C. Differing from most object-oriented machine learning workflows, ML-in-C follows a procedural paradigm as it is the C language's native style.
Why does this library exist?
ML-in-C was created as a personal learning project. It exists as an experimental playground to explore, implement, and optimize machine learning algorithms from scratch.
Please note that ML-in-C is not intended for production or commercial use!
Instead, this library is designed for:
- Gaining a deeper understanding of machine learning algorithms
- Practicing systems-level development in C
- Experimenting with memory layout, performance, and control
If you are curious about how machine learning libraries work, ML-in-C offers an environment open to experimentation.