Gaussian processes in JAX and Equinox.
☆641Jul 27, 2026Updated this week
Alternatives and similar repositories for GPJax
Users that are interested in GPJax are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆1,102Updated this week
- The tiniest of Gaussian Process libraries☆347Updated this week
- ☆644Updated this week
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆243Dec 22, 2023Updated 2 years ago
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆320Jul 8, 2026Updated 2 weeks ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- State of the art inference for your bayesian models.☆247Jan 14, 2026Updated 6 months ago
- ☆239Jun 21, 2026Updated last month
- A Python package for probabilistic state space modeling with JAX☆986Jul 20, 2026Updated last week
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,725Updated this week
- Compositional Linear Algebra☆517Aug 1, 2025Updated 11 months ago
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆565Jun 27, 2026Updated last month
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,052Jun 4, 2026Updated last month
- Probabilistic Programming and Nested sampling in JAX☆249May 13, 2026Updated 2 months ago
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆2,075Jun 21, 2026Updated last month
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,930Jun 29, 2026Updated last month
- Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python☆537Jul 17, 2026Updated last week
- Optax is a gradient processing and optimization library for JAX.☆2,303Updated this week
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆605May 13, 2026Updated 2 months ago
- ☆948Jul 22, 2026Updated last week
- JAX - A curated list of resources https://github.com/google/jax☆2,138Jan 20, 2026Updated 6 months ago
- Interpolation and function approximation with JAX☆278Jul 20, 2026Updated last week
- Tutorials and sampling algorithm comparisons☆86Updated this week
- A differentiable cosmology library in JAX☆244Jun 27, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆260Oct 28, 2025Updated 9 months ago
- Probabilistic Numerics in Python.☆461Jul 3, 2025Updated last year
- Add a tqdm progress bar to your JAX scans and loops.☆131May 22, 2026Updated 2 months ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆106Oct 23, 2023Updated 2 years ago
- Matrix-free linear algebra in JAX.☆178Jul 1, 2026Updated 3 weeks ago
- Gaussian Processes for Experimental Sciences☆240Jul 4, 2025Updated last year
- Exponential families for JAX☆77Updated this week
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆329Jul 9, 2026Updated 2 weeks ago
- Turn SymPy expressions into trainable JAX expressions.☆371Apr 20, 2026Updated 3 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Named Tensors for Legible Deep Learning in JAX☆227Nov 8, 2025Updated 8 months ago
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆750Jun 14, 2026Updated last month
- Structural Time Series in JAX☆218May 8, 2024Updated 2 years ago
- Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/☆1,846Jul 8, 2026Updated 3 weeks ago
- Mathematical operations for JAX pytrees☆210Dec 5, 2024Updated last year
- Numerical quadrature with JAX☆86Jul 20, 2026Updated last week
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆103Jul 6, 2023Updated 3 years ago