A verified directory of the core frameworks powering modern machine learning, from classical algorithms to large-scale deep learning.
A simple and efficient toolkit for classical machine learning in Python — classification, regression, clustering, and dimensionality reduction.
scikit-learn.org/stable/index.html 02An end-to-end open source platform for machine learning, with a flexible ecosystem of tools, libraries, and community resources.
www.tensorflow.org/ 03An open source machine learning framework that accelerates the path from research prototyping to production deployment.
pytorch.org/ 04A high-performance array computing library for accelerator-oriented program transformation, offering composable function transforms for large-scale machine learning.
docs.jax.dev/en/latest/