martiningram / jax_adviLinks
☆15Updated 3 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.☆220Updated 3 months ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆104Updated last year
- Tutorials and sampling algorithm comparisons☆75Updated this week
- A generic interface for linear algebra backends☆73Updated 5 months ago
- A simple library to run variational inference on Stan models.☆32Updated 2 years ago
- Simulation-based inference benchmark☆99Updated 6 months ago
- MCHMC: sampler from an arbitrary differentiable distribution☆73Updated 3 months ago
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆39Updated last year
- Tools for an Aesara-based PPL.☆64Updated 9 months ago
- Conditional density estimation with neural networks☆32Updated 6 months ago
- Bayesian inference and posterior analysis for Python☆44Updated last year
- An HMC/NUTS implementation in Aesara☆31Updated 2 years ago
- Simulation-based inference in JAX☆33Updated 3 months ago
- Self-tuning HMC algorithms and evaluations☆19Updated 9 months ago
- Probabilistic Programming and Nested sampling in JAX☆193Updated last month
- some scripts for the couplings enthusiasts!☆32Updated 5 years ago
- Code for Gaussian Score Matching Variational Inference☆34Updated 5 months ago
- probabilistic programming focused on fun☆41Updated this week
- A library for bayesian variable selection☆30Updated 6 months ago
- Continuously tempered Hamiltonian Monte Carlo☆11Updated 8 years ago
- Exponential families for JAX☆73Updated this week
- ☆177Updated last month
- Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)☆22Updated last year
- Efficient, lightweight variational inference and approximation bounds☆42Updated last year
- Sampling with Blackjax on Aesara☆11Updated 2 years ago
- Probabilistic modeling of tabular data with normalizing flows.☆57Updated last month
- Integrals of Gaussians under linear domain constraints☆14Updated 5 years ago
- ABCpy package☆115Updated last year
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆12Updated 8 months ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago