aesara-devs / aemcmcLinks
AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
☆39Updated 2 years ago
Alternatives and similar repositories for aemcmc
Users that are interested in aemcmc are comparing it to the libraries listed below
Sorting:
- An HMC/NUTS implementation in Aesara☆31Updated 2 years ago
- Tools for an Aesara-based PPL.☆67Updated last year
- Sampling with Blackjax on Aesara☆11Updated 2 years ago
- Tutorials and sampling algorithm comparisons☆79Updated this week
- State of the art inference for your bayesian models.☆231Updated this week
- Exponential families for JAX☆75Updated last week
- All things Monte Carlo, written in JAX.☆32Updated 2 years ago
- A generic interface for linear algebra backends☆76Updated 2 months ago
- probabilistic programming focused on fun☆49Updated this week
- Solve ODEs fast, with support for PyMC☆117Updated last year
- Bayesian inference and posterior analysis for Python☆46Updated 2 years ago
- Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX☆23Updated 2 years ago
- ☆16Updated 9 months ago
- Python wrapper for nuts-rs☆182Updated last week
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆59Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 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
- A backend for storing MCMC draws.☆21Updated last week
- Probabilistic Programming and Nested sampling in JAX☆218Updated 3 weeks ago
- A Simple Statistical Distribution Library in JAX☆17Updated last year
- Low rank adaptation of covariance matrices for nuts sampling in pymc3☆15Updated 3 years ago
- Probabilistic deep learning using JAX☆15Updated 11 months ago
- Exploring and eliciting probability distributions☆161Updated 2 weeks ago
- Step size adaptation for the No-U-Turn Sampler☆26Updated last month
- Automated Bayesian model discovery for time series data☆84Updated 3 weeks ago
- Tools for JAX☆49Updated 3 weeks ago
- Bayesian inference for a logistic regression model in various languages☆43Updated 2 years ago
- Stencil computations in JAX☆71Updated last month
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆11Updated 2 years ago
- Bayesian Regression Models in Pyro☆74Updated last year