bayex

Automated Machine Learning with scikit-learn

Source-to-Source Debuggable Derivatives in Pure Python

A modular active learning framework for Python

A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

A simple library for creating complex neural networks

a distributed Hyperband implementation on Steroids

Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.

Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.

Tensors and differentiable operations (like TensorFlow) in Rust