SamDuffield / mocatLinks
All things Monte Carlo, written in JAX.
☆32Updated 2 years ago
Alternatives and similar repositories for mocat
Users that are interested in mocat are comparing it to the libraries listed below
Sorting:
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- Exponential families for JAX☆75Updated last month
- Stencil computations in JAX☆71Updated last month
- Minimal Implementation of Bayesian Optimization in JAX☆100Updated 7 months ago
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆39Updated 2 years ago
- Tutorials and sampling algorithm comparisons☆79Updated this week
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Probabilistic Programming and Nested sampling in JAX☆213Updated last month
- Documentation:☆125Updated 2 years ago
- Tools for an Aesara-based PPL.☆67Updated last year
- Tools for JAX☆49Updated last month
- A generic interface for linear algebra backends☆75Updated last month
- A dead simple Python package for creating custom JAX pytree objects☆66Updated last year
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆102Updated 2 years ago
- Gaussian Mixture Models in Jax☆23Updated 5 months ago
- Normalizing Flows using JAX☆85Updated 2 years ago
- State of the art inference for your bayesian models.☆232Updated 7 months ago
- Inference Combinators in JAX☆52Updated 7 months ago
- Solve ODEs fast, with support for PyMC☆117Updated last year
- Conditional density estimation with neural networks☆35Updated 10 months ago
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆45Updated 11 months ago
- An HMC/NUTS implementation in Aesara☆31Updated 2 years ago
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- Mathematical operations for JAX pytrees☆205Updated last year
- Probabilistic modeling of tabular data with normalizing flows.☆58Updated last week
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆59Updated last year
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆241Updated last year
- Jax SSM Library☆48Updated 3 years ago
- The tiniest of Gaussian Process libraries☆327Updated 2 weeks ago
- Low rank adaptation of covariance matrices for nuts sampling in pymc3☆15Updated 3 years ago