aesara-devs / aemcmcLinks
AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
☆40Updated last year
Alternatives and similar repositories for aemcmc
Users that are interested in aemcmc are comparing it to the libraries listed below
Sorting:
- Tools for an Aesara-based PPL.☆66Updated 10 months ago
- An HMC/NUTS implementation in Aesara☆31Updated 2 years ago
- Sampling with Blackjax on Aesara☆11Updated 2 years ago
- Tutorials and sampling algorithm comparisons☆75Updated this week
- Exponential families for JAX☆73Updated this week
- State of the art inference for your bayesian models.☆222Updated 4 months ago
- Bayesian inference and posterior analysis for Python☆45Updated last year
- ☆16Updated 5 months ago
- A generic interface for linear algebra backends☆73Updated 6 months ago
- All things Monte Carlo, written in JAX.☆31Updated 2 years ago
- Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX☆23Updated 2 years ago
- A backend for storing MCMC draws.☆20Updated this week
- Solve ODEs fast, with support for PyMC☆114Updated last year
- probabilistic programming focused on fun☆42Updated last month
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated last year
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆57Updated last year
- Probabilistic Programming and Nested sampling in JAX☆207Updated last month
- Exploring and eliciting probability distributions☆147Updated last week
- Python wrapper for nuts-rs☆174Updated last week
- Probabilistic deep learning using JAX☆15Updated 7 months ago
- Automated Bayesian model discovery for time series data☆80Updated 2 weeks ago
- Self-tuning HMC algorithms and evaluations☆19Updated 11 months ago
- A dead simple Python package for creating custom JAX pytree objects☆64Updated 10 months ago
- Bayesian inference for a logistic regression model in various languages☆42Updated 2 years ago
- Minimal Implementation of Bayesian Optimization in JAX☆97Updated 4 months ago
- A simple library to run variational inference on Stan models.☆32Updated 2 years ago
- Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis☆32Updated 2 years ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆21Updated last year
- Stencil computations in JAX☆71Updated last year
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆276Updated last week