thomaspinder / GPJaxLinks
Gaussian processes in JAX and Flax.
☆576Updated last 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.☆1,002Updated last month
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆531Updated last month
- ☆211Updated last week
- The tiniest of Gaussian Process libraries☆332Updated 3 weeks ago
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆506Updated last month
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆295Updated 2 weeks ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆123Updated last month
- State of the art inference for your bayesian models.☆231Updated 2 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
- Probabilistic Numerics in Python.☆455Updated 6 months ago
- ☆615Updated last month
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆255Updated 3 months ago
- A Python package for probabilistic state space modeling with JAX☆912Updated 3 weeks ago
- Minimal Implementation of Bayesian Optimization in JAX☆101Updated 9 months ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,023Updated last month
- Add a tqdm progress bar to your JAX scans and loops.☆124Updated 8 months ago
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆693Updated 3 weeks ago
- Interpolation and function approximation with JAX☆244Updated last week
- sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…☆776Updated this week
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆309Updated last week
- Likelihood-free AMortized Posterior Estimation with PyTorch☆132Updated last year
- Probabilistic Programming and Nested sampling in JAX☆219Updated last month
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆463Updated last year
- A Bayesian optimization toolbox built on TensorFlow☆246Updated 2 weeks ago
- Uncertainty quantification with PyTorch☆380Updated 3 weeks ago
- Simulation-based inference benchmark☆108Updated last year
- Deep GPs built on top of TensorFlow/Keras and GPflow☆128Updated last year
- Turn SymPy expressions into trainable JAX expressions.☆358Updated 9 months ago
- Compositional Linear Algebra☆506Updated 5 months ago