A Python library for amortized Bayesian workflows using generative neural networks.

Fully open reproduction of DeepSeek-R1

Python wrapper for nuts-rs

Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)

MCHMC: sampler from an arbitrary differentiable distribution

Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.

A Python package for causal inference in quasi-experimental settings

Hardware accelerated, batchable and differentiable optimizers in JAX.

Probabilistic Numerics in Python.

Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python ⚡

Multiple dispatch in Python

Good books, good vibes

Unbearably fast near-real-time pure-Python runtime-static type-checker.

Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.

PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python

A markup-based typesetting system that is powerful and easy to learn.

All things Monte Carlo, written in JAX.

A nimble Mastodon web client

Tutorials and sampling algorithm comparisons

PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.

A Python Interpreter written in Rust

Structural Time Series in JAX

BART experiments

A conda-smithy repository for blackjax.

Kullback-Leibler projections for Bayesian model selection in Python

A python library for user-friendly forecasting and anomaly detection on time series.

Distributed Xarray with Apache Beam

Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.