A Python package for probabilistic state space modeling with JAX
☆970Jan 6, 2026Updated 5 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.☆1,087May 31, 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☆701May 9, 2025Updated last year
- Gaussian processes in JAX and Equinox.☆624May 31, 2026Updated last week
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆317Updated this week
- ☆635May 13, 2026Updated 3 weeks ago
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,896May 22, 2026Updated 2 weeks ago
- State of the art inference for your bayesian models.☆242Jan 14, 2026Updated 4 months ago
- Optax is a gradient processing and optimization library for JAX.☆2,273Jun 1, 2026Updated last week
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆550Updated this week
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆2,031Updated this week
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆585May 13, 2026Updated 3 weeks ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,698May 31, 2026Updated last week
- 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.
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,040Updated this week
- 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.☆324Updated this week
- Exponential families for JAX☆77Updated this week
- JAX - A curated list of resources https://github.com/google/jax☆2,118Jan 20, 2026Updated 4 months ago
- ☆250Feb 20, 2026Updated 3 months ago
- ☆230Feb 21, 2026Updated 3 months ago
- ☆12Jul 6, 2022Updated 3 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Tutorials and sampling algorithm comparisons☆86Updated this week
- Recursive Bayesian Estimation (Sequential / Online Inference)☆64Apr 17, 2024Updated 2 years ago
- ☆944Apr 10, 2026Updated last month
- The tiniest of Gaussian Process libraries☆347Jun 1, 2026Updated last week
- Probabilistic Programming and Nested sampling in JAX☆236May 13, 2026Updated 3 weeks ago
- CLU lets you write beautiful training loops in JAX.☆366Mar 3, 2026Updated 3 months ago
- Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/☆1,820May 24, 2026Updated 2 weeks ago
- Uncertainty quantification with PyTorch☆383Apr 1, 2026Updated 2 months ago
- Probabilistic Numerics in Python.☆461Jul 3, 2025Updated 11 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆741May 29, 2026Updated last week
- Orbax provides common checkpointing and persistence utilities for JAX users☆518Updated this week
- Tools for JAX☆50Updated this week
- ☆302Updated this week
- JAX Arrays for human consumption☆111Oct 23, 2025Updated 7 months ago
- Loopy belief propagation for factor graphs on discrete variables in JAX☆167Oct 18, 2024Updated last year
- Recurrent Switching Linear Dynamical Systems☆127Apr 30, 2023Updated 3 years ago