Turn-key machine-learning tools for socio-economic impact
At soda, we really care about have an impact beyond the publication. We have been making high-quality software for many years, and these software have helped shaping the scientific Python world.
Software we maintain
- scikit-learn: machine learning in Python (soda includes a core team dedicated to developing and maintaining scikit-learn)
- joblib: parallelism and checkpointing for Python functions
- skrub: Prepping tables for machine learning