google-deepmind / PGMaxLinks
Loopy belief propagation for factor graphs on discrete variables in JAX
☆157Updated last year
Alternatives and similar repositories for PGMax
Users that are interested in PGMax are comparing it to the libraries listed below
Sorting:
- JAX Arrays for human consumption☆109Updated last week
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆280Updated 2 weeks ago
- A Python package of computer vision models for the Equinox ecosystem.☆109Updated last year
- Bayesian inference with Python and Jax.☆34Updated 2 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆102Updated 2 years ago
- Add a tqdm progress bar to your JAX scans and loops.☆117Updated 5 months ago
- Loopy belief propagation for factor graphs on discrete variables, in JAX!☆65Updated last year
- Compositional Linear Algebra☆489Updated 2 months ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆239Updated last year
- ☆115Updated last month
- ☆247Updated 3 months ago
- Riemannian Optimization Using JAX☆53Updated last year
- A generic interface for linear algebra backends☆74Updated 7 months ago
- Minimal Implementation of Bayesian Optimization in JAX☆98Updated 6 months ago
- Uncertainty quantification with PyTorch☆375Updated 2 weeks ago
- Pre-trained Gaussian processes for Bayesian optimization☆97Updated 6 months ago
- Turn SymPy expressions into trainable JAX expressions.☆351Updated 6 months ago
- Named Tensors for Legible Deep Learning in JAX☆210Updated last week
- Parameter-Free Optimizers for Pytorch☆131Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- Run PyTorch in JAX. 🤝☆305Updated last week
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆481Updated this week
- Recursive Bayesian Estimation (Sequential / Online Inference)☆59Updated last year
- A functional training loops library for JAX☆88Updated last year
- Pytorch-like dataloaders for JAX.☆93Updated 4 months ago
- A small library for creating and manipulating custom JAX Pytree classes☆56Updated 2 years ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆115Updated 3 weeks ago
- Multiple dispatch over abstract array types in JAX.☆131Updated last week
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆293Updated last week
- Structural Time Series in JAX☆200Updated last year