Bayex: Bayesian Optimization in JAX

Simple yet powerful Bayesian Optimization library using JAX and XLA compilation.
Ideal for black-box optimization in research workflows.
PCAx: Differentiable PCA in JAX

A lightweight, differentiable PCA implementation in JAX, designed for seamless GPU acceleration. Enables backpropagation through PCA layers with minimal overhead.
t-SNEx: Minimal t-SNE in JAX

High-performance, minimal t-SNE implementation for visualizing high-dimensional data. Built with scalability and GPU efficiency in mind.
BoundVor: Bounded Voronoi Tessellation

Wrapper around
scipy.spatial.Voronoi to clip diagrams to arbitrary polygons. Useful for modeling bounded spatial domains in physical systems.
Notata: Scientific Logging

A lightweight library for saving simulation results in a standardized, reproducible format. Designed for scientists and researchers carrying experiments.