probml / JSL
Jax SSM Library
☆49Updated 2 years ago
Alternatives and similar repositories for JSL:
Users that are interested in JSL are comparing it to the libraries listed below
- Exponential families for JAX☆64Updated this week
- Composable kernels for scikit-learn implemented in JAX.☆43Updated 4 years ago
- Tutorials and sampling algorithm comparisons☆73Updated this week
- A small library for creating and manipulating custom JAX Pytree classes☆56Updated 2 years ago
- Tools for JAX☆45Updated last week
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆98Updated last year
- A generic interface for linear algebra backends☆73Updated last month
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆58Updated 9 months ago
- This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.☆31Updated last year
- Inference Combinators in JAX☆47Updated 5 months ago
- Bayesian Bandits☆68Updated last year
- Turning SymPy expressions into JAX functions☆44Updated 4 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆102Updated last year
- Discontinuous Hamiltonian Monte Carlo in JAX☆41Updated 5 years ago
- Documentation:☆119Updated last year
- Loopy belief propagation for factor graphs on discrete variables, in JAX!☆65Updated 6 months ago
- Graph Learning with JAX☆14Updated 2 years ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆58Updated 11 months ago
- ☆30Updated 2 years ago
- JAX workshop for beginners☆8Updated 3 months ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Normalizing Flows using JAX☆83Updated last year
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆45Updated 3 months ago
- A Python package of computer vision models for the Equinox ecosystem.☆103Updated 8 months ago
- Interactive textbook on state space models☆12Updated 3 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 4 years ago
- ☆80Updated 3 years ago
- Neat Bayesian machine learning examples☆55Updated 2 months ago