lindermanlab / ssm-jaxLinks
Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
☆60Updated last year
Alternatives and similar repositories for ssm-jax
Users that are interested in ssm-jax are comparing it to the libraries listed below
Sorting:
- PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python☆121Updated this week
- ☆24Updated 2 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 5 years ago
- ☆12Updated 2 years ago
- Gaussian Process Factor Analysis with Dynamical Structure☆17Updated 4 years ago
- This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.☆33Updated 2 years ago
- Tree-structured recurrent switching linear dynamical systems☆37Updated 5 years ago
- Jax SSM Library☆49Updated 2 years ago
- Recurrent Switching Linear Dynamical Systems☆112Updated 2 years ago
- Project repo for gpSLDS☆13Updated 9 months ago
- ☆16Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated last year
- Recursive Bayesian Estimation (Sequential / Online Inference)☆59Updated last year
- A generic interface for linear algebra backends☆73Updated 7 months ago
- Dynamical Components Analysis☆33Updated last month
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆100Updated 2 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆68Updated 8 months ago
- Inverse optimal control for continuous psychophysics☆28Updated 3 months ago
- ☆14Updated 2 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆48Updated 2 years ago
- ☆15Updated 2 years ago
- ☆98Updated 7 years ago
- Simulation-based inference benchmark☆102Updated 8 months ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Updated last year
- ☆39Updated last year
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆237Updated last year
- PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python☆76Updated 8 months ago
- Tutorials and sampling algorithm comparisons☆77Updated this week
- Exponential families for JAX☆75Updated 2 weeks ago
- Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inferenc…☆11Updated 2 years ago