Alternatives and similar repositories for dynamax

Users that are interested in dynamax are comparing it to the libraries listed below

• blackjax-devs / blackjax
  BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
  ☆1,005Updated 2 months ago
• thomaspinder / GPJax
  Gaussian processes in JAX and Flax.
  ☆579Updated this week
• sbi-dev / sbi
  sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…
  ☆781Updated last week
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆379Updated last week
• bayesflow-org / bayesflow
  A Python library for amortized Bayesian workflows using generative neural networks.
  ☆630Updated this week
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
  ☆698Updated last week
• probml / sts-jax
  Structural Time Series in JAX
  ☆213Updated last year
• wilson-labs / cola
  Compositional Linear Algebra
  ☆506Updated 6 months ago
• patrick-kidger / optimistix
  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
  ☆536Updated last month
• nchopin / particles
  Sequential Monte Carlo in python
  ☆479Updated 3 months ago
• fehiepsi / rethinking-numpyro
  Statistical Rethinking (2nd ed.) with NumPyro
  ☆467Updated 9 months ago
• google / jaxopt
  Hardware accelerated, batchable and differentiable optimizers in JAX.
  ☆1,022Updated last month
• google-deepmind / distrax
  ☆619Updated 2 weeks ago
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆231Updated 3 weeks ago
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆457Updated 7 months ago
• lindermanlab / ssm
  Bayesian learning and inference for state space models
  ☆672Updated 8 months ago
• dfm / tinygp
  The tiniest of Gaussian Process libraries
  ☆333Updated this week
• jax-ml / oryx
  Oryx is a library for probabilistic programming and deep learning built on top of Jax.
  ☆296Updated 3 weeks ago
• patrick-kidger / lineax
  Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
  ☆509Updated this week
• danielward27 / flowjax
  ☆213Updated this week
• AaltoML / BayesNewton
  Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
  ☆241Updated 2 years ago
• GilpinLab / dysts
  Hundreds of strange attractors
  ☆517Updated last month
• patrick-kidger / diffrax
  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
  ☆1,893Updated this week
• acerbilab / pyvbmc
  PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
  ☆123Updated last month
• probml / ssm-book
  Interactive textbook on state-space models
  ☆202Updated 2 years ago
• philipphennig / NumericsOfML
  Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
  ☆226Updated last year
• google-deepmind / chex
  ☆923Updated last week
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆465Updated last year
• pyro-ppl / numpyro
  Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
  ☆2,599Updated this week
• patrick-kidger / sympy2jax
  Turn SymPy expressions into trainable JAX expressions.
  ☆359Updated 9 months ago