lindermanlab / ssm-jaxLinks
Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
☆59Updated 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:
- ☆12Updated last year
- PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python☆119Updated 4 months ago
- Tree-structured recurrent switching linear dynamical systems☆36Updated 4 years ago
- A generic interface for linear algebra backends☆73Updated 3 months ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 4 years ago
- ☆23Updated last year
- JAX workshop for beginners☆8Updated 5 months ago
- PyTorch Lightning utilities that make it easier to train and evaluate deep models for the Neural Latents Benchmark.☆8Updated 2 years ago
- Recurrent Switching Linear Dynamical Systems☆111Updated 2 years ago
- ☆14Updated last year
- Black box variational inference for state space models☆2Updated 9 years ago
- ☆10Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆104Updated last year
- Gaussian Process Factor Analysis with Dynamical Structure☆16Updated 4 years ago
- Dynamical Components Analysis☆32Updated last year
- ☆14Updated last year
- Implementation of the Gaussian Process Autoregressive Regression Model☆67Updated 5 months ago
- This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.☆32Updated last year
- Recurrent state-space models for decision making☆30Updated 2 years ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆58Updated last year
- ☆11Updated 2 years ago
- PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python☆73Updated 5 months ago
- ☆13Updated 2 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆100Updated last year
- Jax SSM Library☆49Updated 2 years ago
- ☆12Updated 3 years ago
- Sequential Neural Likelihood☆40Updated 5 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆47Updated 2 years ago
- Exponential families for JAX☆71Updated this week
- Inverse optimal control for continuous psychophysics☆27Updated last week