Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
☆2,754Sep 15, 2026Updated this week
Alternatives and similar repositories for numpyro
Users that are interested in numpyro 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.☆1,123Updated this week
- Statistical Rethinking (2nd ed.) with NumPyro☆473May 4, 2025Updated last year
- Deep universal probabilistic programming with Python and PyTorch☆9,055Sep 7, 2026Updated last week
- Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.☆331Mar 20, 2024Updated 2 years ago
- Functional tensors for probabilistic programming☆250Aug 3, 2026Updated last month
- 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.
- ☆654Updated this week
- Optax is a gradient processing and optimization library for JAX.☆2,335Updated this week
- ☆957Sep 10, 2026Updated last week
- State of the art inference for your bayesian models.☆248Jan 14, 2026Updated 8 months ago
- Exploratory analysis of Bayesian models with Python☆1,852Sep 9, 2026Updated last week
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆328Sep 10, 2026Updated last week
- Gaussian processes in JAX and Equinox.☆661Updated this week
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,970Sep 6, 2026Updated last week
- JAX-based neural network library☆3,283Updated this week
- 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.
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆36,306Updated this week
- Flax is a neural network library for JAX that is designed for flexibility.☆7,319Updated this week
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆2,102Sep 6, 2026Updated last week
- Bayesian Modeling and Probabilistic Programming in Python☆9,753Updated this week
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,063Sep 7, 2026Updated last week
- BAyesian Model-Building Interface (Bambi) in Python.☆1,298Updated this week
- A Python package for probabilistic state space modeling with JAX☆1,008Sep 1, 2026Updated 2 weeks ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,911Jul 10, 2026Updated 2 months ago
- Probabilistic Programming and Nested sampling in JAX☆256Updated this week
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- JAX - A curated list of resources https://github.com/google/jax☆2,161Jan 20, 2026Updated 7 months ago
- The tiniest of Gaussian Process libraries☆348Sep 10, 2026Updated last week
- A Graph Neural Network Library in Jax☆1,474Mar 18, 2024Updated 2 years ago
- Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arra…☆1,219Nov 15, 2024Updated last year
- Probabilistic reasoning and statistical analysis in TensorFlow☆4,431Updated this week
- Python wrapper for nuts-rs☆208Updated this week
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆579Sep 4, 2026Updated last week
- Probabilistic Numerics in Python.☆462Jul 3, 2025Updated last year
- (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.☆708Oct 4, 2021Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Bayesian optimization in PyTorch☆3,598Sep 8, 2026Updated last week
- Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python☆545Aug 31, 2026Updated 2 weeks ago
- ☆1,445Sep 9, 2026Updated last week
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆106Oct 23, 2023Updated 2 years ago
- Fast and Easy Infinite Neural Networks in Python☆2,382Mar 1, 2024Updated 2 years ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆621Aug 11, 2026Updated last month
- Documentation:☆132May 22, 2023Updated 3 years ago