pmorenoz / ModularGPLinks
Modular Gaussian Processes
☆16Updated 4 years ago
Alternatives and similar repositories for ModularGP
Users that are interested in ModularGP are comparing it to the libraries listed below
Sorting:
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆26Updated 4 years ago
- Kernel Identification Through Transformers☆14Updated 2 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 7 years ago
- Nonparametric Differential Equation Modeling☆56Updated last year
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 6 years ago
- A lightweight didactic library of kernel methods using the back-end JAX.☆12Updated 2 years ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆30Updated last year
- Efficient non-linear PCA through kernel PCA with the Nyström method☆13Updated 2 years ago
- Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'☆47Updated 4 years ago
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Updated 3 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Library for Bayesian Quadrature☆32Updated 6 years ago
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆12Updated 2 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆74Updated 5 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆24Updated 6 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 5 years ago
- orbital MCMC☆10Updated 4 years ago
- Python and MATLAB code for Stein Variational sampling methods☆27Updated 6 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆89Updated 3 years ago
- Refining continuous-in-depth neural networks☆42Updated 4 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated 2 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆19Updated 5 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 4 years ago
- Codes for Hilbert space reduced-rank GP regression☆15Updated 6 years ago
- ☆52Updated 2 years ago
- Code for "Log Neural Controlled Differential Equations" (ICML 2024) and "Structured Linear CDEs" (NeurIPS 2025, Spotlight)☆29Updated last week
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Updated last year
- A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium☆21Updated 4 years ago