A Python package for probabilistic state space modeling with JAX
☆964Jan 6, 2026Updated 4 months ago
Alternatives and similar repositories for dynamax
Users that are interested in dynamax are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Structural Time Series in JAX☆214May 8, 2024Updated 2 years ago
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆1,073May 11, 2026Updated last week
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆62Jun 17, 2024Updated last year
- Bayesian learning and inference for state space models☆700May 9, 2025Updated last year
- Gaussian processes in JAX and Equinox.☆620May 11, 2026Updated last week
- 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.
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆316Apr 20, 2026Updated 3 weeks ago
- ☆634Updated this week
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,881May 11, 2026Updated last week
- State of the art inference for your bayesian models.☆240Jan 14, 2026Updated 4 months ago
- Optax is a gradient processing and optimization library for JAX.☆2,269Updated this week
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆545Updated this week
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆2,008Updated this week
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆580Updated this week
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,676May 11, 2026Updated last week
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,039Dec 17, 2025Updated 5 months ago
- Jax SSM Library☆48Nov 24, 2022Updated 3 years ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆242Dec 22, 2023Updated 2 years ago
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆324May 11, 2026Updated last week
- Exponential families for JAX☆77Updated this week
- JAX - A curated list of resources https://github.com/google/jax☆2,104Jan 20, 2026Updated 3 months ago
- ☆228Feb 21, 2026Updated 2 months ago
- ☆250Feb 20, 2026Updated 2 months ago
- ☆12Jul 6, 2022Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Tutorials and sampling algorithm comparisons☆86Updated this week
- Recursive Bayesian Estimation (Sequential / Online Inference)☆64Apr 17, 2024Updated 2 years ago
- ☆940Apr 10, 2026Updated last month
- The tiniest of Gaussian Process libraries☆345May 9, 2026Updated last week
- Probabilistic Programming and Nested sampling in JAX☆235May 11, 2026Updated last week
- CLU lets you write beautiful training loops in JAX.☆366Mar 3, 2026Updated 2 months ago
- Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/☆1,800May 5, 2026Updated 2 weeks ago
- Uncertainty quantification with PyTorch☆382Apr 1, 2026Updated last month
- Probabilistic Numerics in Python.☆460Jul 3, 2025Updated 10 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆737May 6, 2026Updated last week
- Orbax provides common checkpointing and persistence utilities for JAX users☆507Updated this week
- Tools for JAX☆50Updated this week
- ☆295May 11, 2026Updated last week
- JAX Arrays for human consumption☆111Oct 23, 2025Updated 6 months ago
- Loopy belief propagation for factor graphs on discrete variables in JAX☆166Oct 18, 2024Updated last year
- Recurrent Switching Linear Dynamical Systems☆125Apr 30, 2023Updated 3 years ago