stefanosele / GPfYLinks
Gaussian processes with spherical harmonic features in JAX
☆15Updated 5 months ago
Alternatives and similar repositories for GPfY
Users that are interested in GPfY are comparing it to the libraries listed below
Sorting:
- Literature and light wrappers for gaussian process models.☆47Updated 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
- Gaussian Mixture Models in Jax☆23Updated 6 months ago
- Interactive textbook on state space models☆12Updated 3 years ago
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆11Updated 2 years ago
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆12Updated last year
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Updated 11 months ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Fully nonstationary, heteroscedastic GP for Matlab☆16Updated last year
- A generic interface for linear algebra backends☆76Updated 2 months ago
- A framework for composing Neural Processes in Python☆89Updated last year
- Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes☆13Updated last year
- Probabilistic deep learning using JAX☆15Updated 11 months ago
- Stencil computations in JAX☆71Updated 2 months ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆128Updated last year
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆131Updated last week
- Codes for Hilbert space reduced-rank GP regression☆15Updated 6 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Updated last year
- Implementation of the Gaussian Process Autoregressive Regression Model☆71Updated last year
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated 2 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆25Updated 3 years ago
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆43Updated 2 years ago
- Matrix-free linear algebra in JAX.☆160Updated last month
- Exponential families for JAX☆76Updated last week
- Gradient-informed particle MCMC methods☆12Updated 2 years ago
- Gaussian process modelling in Python☆226Updated last year
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆53Updated 2 months ago
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆12Updated 2 years ago
- Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'☆47Updated 4 years ago