SamDuffield / mocatLinks
All things Monte Carlo, written in JAX.
☆31Updated 2 years ago
Alternatives and similar repositories for mocat
Users that are interested in mocat are comparing it to the libraries listed below
Sorting:
- Exponential families for JAX☆73Updated 2 weeks ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆104Updated last year
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆39Updated last year
- Tutorials and sampling algorithm comparisons☆75Updated this week
- A generic interface for linear algebra backends☆73Updated 5 months ago
- Stencil computations in JAX☆71Updated last year
- Tools for an Aesara-based PPL.☆64Updated 9 months ago
- Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes☆12Updated 9 months ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- State of the art inference for your bayesian models.☆220Updated 3 months ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆100Updated 2 years ago
- An HMC/NUTS implementation in Aesara☆31Updated 2 years ago
- Jax SSM Library☆49Updated 2 years ago
- Minimal Implementation of Bayesian Optimization in JAX☆95Updated 3 months ago
- Tools for JAX☆49Updated last week
- Normalizing Flows using JAX☆84Updated last year
- Documentation:☆121Updated 2 years ago
- Probabilistic Programming and Nested sampling in JAX☆193Updated 3 weeks ago
- A dead simple Python package for creating custom JAX pytree objects☆64Updated 8 months ago
- Low rank adaptation of covariance matrices for nuts sampling in pymc3☆15Updated 3 years ago
- Gaussian Mixture Models in Jax☆21Updated 3 weeks ago
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆45Updated 6 months 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
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆12Updated 8 months ago
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- ☆12Updated 3 years ago
- Inference Combinators in JAX☆50Updated 2 months ago
- Solve ODEs fast, with support for PyMC☆114Updated last year
- Probabilistic modeling of tabular data with normalizing flows.☆57Updated last month
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆234Updated last year