Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.
☆330Mar 20, 2024Updated 2 years ago
Alternatives and similar repositories for mcx
Users that are interested in mcx are comparing it to the libraries listed below
Sorting:
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆1,033Feb 3, 2026Updated last month
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,623Updated this week
- Documentation:☆130May 22, 2023Updated 2 years ago
- Evaluation Framework for Probabilistic Programming Languages☆104Jan 18, 2024Updated 2 years ago
- ☆627Jan 23, 2026Updated last month
- Just a little MCMC☆234Jun 25, 2024Updated last year
- Tools for an Aesara-based PPL.☆67Oct 28, 2024Updated last year
- Statistical Rethinking (2nd ed.) with NumPyro☆468May 4, 2025Updated 10 months ago
- Manifold Markov chain Monte Carlo methods in Python☆236Mar 2, 2026Updated 2 weeks ago
- Normalizing Flows using JAX☆87Nov 30, 2023Updated 2 years ago
- State of the art inference for your bayesian models.☆235Jan 14, 2026Updated 2 months ago
- PyMC Extras extracted from the "exoplanet" library☆19Mar 9, 2026Updated last week
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Oct 23, 2023Updated 2 years ago
- An HMC/NUTS implementation in Aesara☆31Jun 22, 2023Updated 2 years ago
- The tiniest of Gaussian Process libraries☆337Mar 15, 2026Updated last week
- Gaussian process modelling in Python☆226Dec 15, 2024Updated last year
- (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.☆710Oct 4, 2021Updated 4 years ago
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆39Oct 23, 2023Updated 2 years ago
- BAyesian Model-Building Interface (Bambi) in Python.☆1,250Updated this week
- Image Markov Chain Monte Carlo☆247Nov 12, 2021Updated 4 years ago
- Functional tensors for probabilistic programming☆245Aug 31, 2023Updated 2 years ago
- Very deep VAEs in JAX/Flax☆46Jun 16, 2021Updated 4 years ago
- Tutorials and sampling algorithm comparisons☆80Updated this week
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆304Updated this week
- Gaussian processes in JAX and Flax.☆602Mar 14, 2026Updated last week
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆59Jul 25, 2024Updated last year
- Low rank adaptation of covariance matrices for nuts sampling in pymc3☆15Jun 7, 2022Updated 3 years ago
- Probabilistic programming via source rewriting☆420Jul 28, 2024Updated last year
- Exploratory analysis of Bayesian models with Python☆1,797Mar 14, 2026Updated last week
- Home for the computational inference reading group.☆17Apr 1, 2020Updated 5 years ago
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆326Oct 2, 2020Updated 5 years ago
- ☆774Jan 27, 2024Updated 2 years ago
- Graph Learning with JAX☆14Jul 11, 2022Updated 3 years ago
- Probabilistic Numerics in Python.☆459Jul 3, 2025Updated 8 months ago
- An experiment: emcee implemented in JAX☆28Jul 1, 2022Updated 3 years ago
- ☆153May 25, 2020Updated 5 years ago
- A comparison of PPL APIs☆27Jul 23, 2019Updated 6 years ago
- Database with posteriors of interest for Bayesian inference☆215Mar 6, 2026Updated 2 weeks ago
- ☆929Mar 12, 2026Updated last week