Python wrapper for nuts-rs

A implementation of NUTS in rust

Next generation earthquake cycle kinematics

Python-first access to R’s brms with proper parameter names, ArviZ support, and cmdstanr performance. The easiest way to run brms models from Python.

A conda-smithy repository for nutpie.

BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.

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

Scipy main repository

Database with posteriors of interest for Bayesian inference

Safe rust wrapper around CUDA toolkit

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

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

BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

NumPy aware dynamic Python compiler using LLVM

Rustic bindings to the IREE Compiler/Runtime

run a NUTS sampler in your browser

A lightweight LLVM python binding for writing JIT compilers