ssm-jax / ssm-bookLinks
Interactive textbook on state space models
☆12Updated 3 years ago
Alternatives and similar repositories for ssm-book
Users that are interested in ssm-book are comparing it to the libraries listed below
Sorting:
- Gaussian processes with spherical harmonic features in JAX☆15Updated 3 weeks ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- A generic interface for linear algebra backends☆73Updated 6 months ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆21Updated last year
- Jax SSM Library☆49Updated 2 years ago
- Exponential families for JAX☆73Updated this week
- Kernels, the machine learning ones☆14Updated 2 years ago
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆11Updated 2 years ago
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆12Updated last year
- Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)☆22Updated last year
- Probabilistic deep learning using JAX☆15Updated 7 months ago
- Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX☆23Updated 2 years ago
- Gaussian Mixture Models in Jax☆22Updated 2 months ago
- The ✨Magical✨ JAX ML Library.☆17Updated 7 months ago
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆42Updated 2 years ago
- Tutorials and sampling algorithm comparisons☆75Updated this week
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆52Updated this week
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆100Updated 2 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated last year
- Literature and light wrappers for gaussian process models.☆48Updated 4 years ago
- Code accompanying the NeurIPS 2021 Paper: A Probabilistic State Space Model for Joint Inference from Differential Equations and Data (Sch…☆13Updated 2 years ago
- Low rank adaptation of covariance matrices for nuts sampling in pymc3☆15Updated 3 years ago
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆45Updated 8 months ago
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆40Updated last year
- Step size adaptation for the No-U-Turn Sampler☆21Updated 3 weeks ago
- Lectures on Quantitative Economics Using JAX☆45Updated last week
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Updated 7 months ago
- Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes☆12Updated 10 months ago