Hypothesis is a powerful, flexible, and easy to use library for property-based testing.

rattler-build is a universal package builder for Windows, macOS and Linux

An extremely fast Python package and project manager, written in Rust.

Distributed DataFrame for Python designed for the cloud, powered by Rust

Python library for generating impact charts

✨ Magical shell history

</> htmx - high power tools for HTML

Asyncer, async and await, focused on developer experience.

Themes for stylized Vega and Vega-Lite visualizations.

Python Classes Without Boilerplate

a scalable data profiler

reusable widgets made easy

Scalable training and inference for Probabilistic Circuits

Make awesome display tables using Python.

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

Multiple dispatch over abstract array types in JAX.

Documentation and User Guide for DoubleML - Double Machine Learning in Python & R

Statistical Rethinking course and book package

A Python implementation of active inference for Markov Decision Processes

Probabilistic Programming and Bayesian Computing with PyMC

Course materials of "Bayesian Modelling and Probabilistic Programming" with NumPyro, initially created for "AI for Science" MSc at the African Institute for Mathematical Sciences (AIMS), South Africa

Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.

A Python implementation of global optimization with gaussian processes.

Minimalist version of probml/rebayes

This repository consolidates my teaching material for "Causal Machine Learning".

Conda shim for PyCharm that proxies pixi

The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or mea…

Turn SymPy expressions into trainable JAX expressions.

Documentation for the Stan language and CmdStan