thomaspinder / GPJaxLinks
Gaussian processes in JAX and Flax.
☆549Updated 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.☆966Updated last week
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆487Updated last week
- The tiniest of Gaussian Process libraries☆323Updated this week
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆488Updated 2 months ago
- ☆198Updated last week
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆282Updated last month
- Probabilistic Numerics in Python.☆459Updated 4 months ago
- State of the art inference for your bayesian models.☆226Updated 6 months ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆240Updated last year
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆116Updated last month
- ☆602Updated last week
- A Python package for probabilistic state space modeling with JAX☆881Updated 3 months ago
- A Bayesian optimization toolbox built on TensorFlow☆240Updated 3 weeks ago
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆251Updated last week
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,001Updated 3 weeks ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- Minimal Implementation of Bayesian Optimization in JAX☆100Updated 6 months ago
- Probabilistic Programming and Nested sampling in JAX☆210Updated 2 months ago
- Interpolation and function approximation with JAX☆226Updated this week
- Turn SymPy expressions into trainable JAX expressions.☆353Updated 6 months ago
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆663Updated this week
- sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…☆749Updated last week
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆294Updated this week
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated last year
- Mathematical operations for JAX pytrees☆201Updated 11 months ago
- Add a tqdm progress bar to your JAX scans and loops.☆118Updated 5 months ago
- Simulation-based inference benchmark☆104Updated 9 months ago
- Matrix-free linear algebra in JAX.☆148Updated this week
- Likelihood-free AMortized Posterior Estimation with PyTorch☆131Updated last year
- Structural Time Series in JAX☆200Updated last year