martiningram / jax_adviLinks
☆16Updated 5 months ago
Alternatives and similar repositories for jax_advi
Users that are interested in jax_advi are comparing it to the libraries listed below
Sorting:
- State of the art inference for your bayesian models.☆222Updated 5 months ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated last year
- Tools for an Aesara-based PPL.☆66Updated 11 months ago
- A generic interface for linear algebra backends☆73Updated 7 months ago
- A simple library to run variational inference on Stan models.☆33Updated 2 years ago
- MCHMC: sampler from an arbitrary differentiable distribution☆74Updated 5 months ago
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆38Updated last year
- Simulation-based inference benchmark☆102Updated 8 months ago
- Tutorials and sampling algorithm comparisons☆77Updated this week
- Bayesian inference and posterior analysis for Python☆46Updated last year
- Efficient, lightweight variational inference and approximation bounds☆45Updated last year
- An HMC/NUTS implementation in Aesara☆31Updated 2 years ago
- probabilistic programming focused on fun☆42Updated last month
- Conditional density estimation with neural networks☆33Updated 8 months ago
- Probabilistic Programming and Nested sampling in JAX☆208Updated last month
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆12Updated 10 months ago
- Self-tuning HMC algorithms and evaluations☆19Updated 11 months ago
- Exponential families for JAX☆75Updated 2 weeks ago
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆57Updated last year
- Code for Gaussian Score Matching Variational Inference☆35Updated 7 months ago
- Just a little MCMC☆231Updated last year
- ABCpy package☆116Updated last year
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆237Updated last year
- Step size adaptation for the No-U-Turn Sampler☆23Updated last week
- A library for bayesian variable selection☆31Updated 8 months ago
- Simulation-based inference in JAX☆35Updated 5 months ago
- Continuously tempered Hamiltonian Monte Carlo☆12Updated 8 years ago
- Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)☆22Updated last year
- some scripts for the couplings enthusiasts!☆32Updated 5 years ago
- Inference Combinators in JAX☆50Updated 4 months ago