State of the art inference for your bayesian models.
☆235Jan 14, 2026Updated 2 months ago
Alternatives and similar repositories for bayeux
Users that are interested in bayeux are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆1,034Updated this week
- Inference Combinators in JAX☆52May 17, 2025Updated 10 months ago
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆306Updated this week
- Probabilistic Programming and Nested sampling in JAX☆228Mar 15, 2026Updated last week
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆256Oct 28, 2025Updated 4 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Gaussian processes in JAX and Flax.☆603Mar 17, 2026Updated last week
- ☆223Feb 21, 2026Updated last month
- Interpolation and function approximation with JAX☆251Mar 19, 2026Updated last week
- Code to reproduce experiments in Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows☆13May 23, 2024Updated last year
- Python wrapper for nuts-rs☆192Updated this week
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,632Updated this week
- Coordinates in JAX☆29Updated this week
- The tiniest of Gaussian Process libraries☆337Mar 15, 2026Updated last week
- Unitful Quantities in JAX☆57Updated this week
- NordVPN Threat Protection Pro™ • AdTake your cybersecurity to the next level. Block phishing, malware, trackers, and ads. Lightweight app that works with all browsers.
- MCHMC: sampler from an arbitrary differentiable distribution☆75Dec 9, 2025Updated 3 months ago
- Tutorials and sampling algorithm comparisons☆80Updated this week
- ☆627Jan 23, 2026Updated 2 months ago
- A Python package for probabilistic state space modeling with JAX☆941Jan 6, 2026Updated 2 months ago
- Exploring and eliciting probability distributions☆162Mar 2, 2026Updated 3 weeks ago
- Code for Gaussian Score Matching Variational Inference☆34Feb 23, 2025Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Oct 23, 2023Updated 2 years ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆558Mar 9, 2026Updated 2 weeks ago
- Curated list of astronomy/astrophysics code packages using JAX☆52Feb 18, 2026Updated last month
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- A differentiable cosmology library in JAX☆229Jun 27, 2025Updated 9 months ago
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆529Mar 18, 2026Updated last week
- Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.☆331Mar 20, 2024Updated 2 years ago
- Fast, lightweight and parallelised simulation-based inference in JAX.☆23Oct 28, 2025Updated 4 months ago
- A JAX-based gaussian process structure learning package for time series modelling.☆37Mar 2, 2026Updated 3 weeks ago
- A simple library to run variational inference on Stan models.☆33Apr 11, 2023Updated 2 years ago
- Particle Gibbs sampler for Bayesian additive regression trees (BART) in Rust.☆14Feb 6, 2026Updated last month
- Matrix-free linear algebra in JAX.☆162Dec 2, 2025Updated 3 months ago
- BAyesian Model-Building Interface (Bambi) in Python.☆1,250Mar 17, 2026Updated last week
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Simulation-based inference in JAX☆47Mar 20, 2026Updated last week
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,831Updated this week
- A Python library for efficient Bayesian modeling with deep learning☆647Updated this week
- S2FFT: Differentiable and accelerated spherical transforms☆220Updated this week
- Step size adaptation for the No-U-Turn Sampler☆27Nov 25, 2025Updated 4 months ago
- Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)☆22Apr 17, 2024Updated last year
- Named Tensors for Legible Deep Learning in JAX☆217Nov 8, 2025Updated 4 months ago