thomaspinder / GPJaxLinks
Gaussian processes in JAX and Flax.
☆588Updated this week
Alternatives and similar repositories for GPJax
Users that are interested in GPJax are comparing it to the libraries listed below
Sorting:
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆1,009Updated last week
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆541Updated this week
- ☆216Updated last week
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆510Updated this week
- The tiniest of Gaussian Process libraries☆333Updated this week
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆298Updated last month
- Probabilistic Numerics in Python.☆458Updated 7 months ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆123Updated last week
- State of the art inference for your bayesian models.☆231Updated 3 weeks ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆241Updated 2 years ago
- ☆622Updated 2 weeks ago
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆255Updated 3 months ago
- A Python package for probabilistic state space modeling with JAX☆924Updated last month
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆700Updated last week
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,022Updated last month
- A Bayesian optimization toolbox built on TensorFlow☆248Updated 3 weeks ago
- Turn SymPy expressions into trainable JAX expressions.☆360Updated last week
- sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…☆783Updated this week
- Minimal Implementation of Bayesian Optimization in JAX☆102Updated 9 months ago
- Compositional Linear Algebra☆507Updated 6 months ago
- Probabilistic Programming and Nested sampling in JAX☆219Updated last month
- Interpolation and function approximation with JAX☆248Updated last week
- Deep GPs built on top of TensorFlow/Keras and GPflow☆128Updated last year
- Uncertainty quantification with PyTorch☆379Updated 2 weeks ago
- Sequential Monte Carlo in python☆483Updated 3 months ago
- Add a tqdm progress bar to your JAX scans and loops.☆124Updated 9 months ago
- Mathematical operations for JAX pytrees☆208Updated last year
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆311Updated this week
- Matrix-free linear algebra in JAX.☆159Updated 2 months ago