AaltoML / hilbert-gp
Codes for Hilbert space reduced-rank GP regression
☆14Updated 5 years ago
Alternatives and similar repositories for hilbert-gp
Users that are interested in hilbert-gp are comparing it to the libraries listed below
Sorting:
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆12Updated 5 months ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆31Updated 10 months ago
- Fully nonstationary, heteroscedastic GP for Matlab☆14Updated 9 months ago
- Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes☆12Updated 6 months ago
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 5 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆66Updated 3 months ago
- Scalable Gaussian Process Regression with Derivatives☆38Updated 6 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆23Updated 6 years ago
- Gradient-informed particle MCMC methods☆12Updated last year
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Updated 3 months ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago
- Gaussian processes regression models with linear inequality constraints☆14Updated 10 months ago
- ☆14Updated last year
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- ☆29Updated 2 years ago
- Gaussian process regression + automatical model selection for logitudinal -omics data☆21Updated 4 years ago
- Conditional density estimation with neural networks☆31Updated 3 months ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 4 years ago
- State-space deep Gaussian processes in Python and Matlab☆30Updated 2 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆21Updated 9 months ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆32Updated 8 years ago
- Modular Gaussian Processes☆15Updated 3 years ago
- Recyclable Gaussian Processes☆11Updated 2 years ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 4 years ago
- Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)☆11Updated 3 years ago
- Zheng Zhao's doctoral dissertation from Aalto University☆34Updated 2 years ago