probml / dynamax
State Space Models library in JAX
☆740Updated this week
Alternatives and similar repositories for dynamax:
Users that are interested in dynamax are comparing it to the libraries listed below
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆882Updated last week
- Gaussian processes in JAX.☆479Updated 3 weeks ago
- Statistical Rethinking (2nd ed.) with NumPyro☆452Updated last year
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆378Updated last week
- Uncertainty quantification with PyTorch☆343Updated last week
- Simulation-based inference toolkit☆638Updated this week
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆1,548Updated last week
- Bayesian learning and inference for state space models☆595Updated 6 months ago
- ☆548Updated this week
- State of the art inference for your bayesian models.☆200Updated 2 months ago
- Structural Time Series in JAX☆187Updated 9 months ago
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆246Updated 2 weeks ago
- Compositional Linear Algebra☆462Updated 3 weeks ago
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆415Updated last week
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆232Updated last year
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆951Updated 5 months ago
- A Python library for amortized Bayesian workflows using generative neural networks.☆429Updated this week
- Probabilistic Numerics in Python.☆448Updated 10 months ago
- Hundreds of strange attractors☆439Updated 3 weeks ago
- The tiniest of Gaussian Process libraries☆303Updated 2 weeks ago
- Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.☆567Updated this week
- Sequential Monte Carlo in python☆431Updated this week
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆432Updated 6 months ago
- PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python☆117Updated last month
- Turn SymPy expressions into trainable JAX expressions.☆330Updated last month
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆197Updated 11 months ago
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,248Updated this week
- Large-scale, multi-GPU capable, kernel solver☆185Updated 7 months ago
- ☆827Updated this week
- ☆245Updated 5 months ago