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:
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- Gaussian processes with spherical harmonic features in JAX☆15Updated last year
- Kernels, the machine learning ones☆14Updated 2 years ago
- The ✨Magical✨ JAX ML Library.☆17Updated 6 months ago
- A generic interface for linear algebra backends☆73Updated 5 months ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Jax SSM Library☆49Updated 2 years ago
- Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)☆22Updated last year
- Literature and light wrappers for gaussian process models.☆48Updated 4 years 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
- Probabilistic deep learning using JAX☆15Updated 5 months ago
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆42Updated 2 years ago
- Simple, extensible implementations of some meta-learning algorithms in Jax☆10Updated 4 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
- Exponential families for JAX☆73Updated 2 weeks ago
- Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX☆23Updated 2 years ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- probabilistic programming focused on fun☆41Updated this week
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆104Updated last year
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆100Updated 2 years ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆129Updated 10 months ago
- Fully nonstationary, heteroscedastic GP for Matlab☆15Updated last year
- Code that accompanies the paper Guided Deep Kernel Learning☆10Updated 2 years ago
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆45Updated 6 months ago
- A small library for creating and manipulating custom JAX Pytree classes☆56Updated 2 years ago
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Updated 2 years ago
- Tutorials and sampling algorithm comparisons☆75Updated this week
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- A lightweight didactic library of kernel methods using the back-end JAX.☆12Updated 2 years ago