fredhallgren / nystrompcaLinks
Efficient non-linear PCA through kernel PCA with the Nyström method
☆13Updated 2 years ago
Alternatives and similar repositories for nystrompca
Users that are interested in nystrompca are comparing it to the libraries listed below
Sorting:
- Modular Gaussian Processes☆15Updated 3 years ago
- ☆16Updated last year
- Implementation of stochastic variational inference for differentially deep gaussian processes☆15Updated 6 years ago
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆25Updated 3 years ago
- orbital MCMC☆10Updated 4 years ago
- We got a stew going!☆27Updated 2 years ago
- Library for Bayesian Quadrature☆32Updated 6 years ago
- ☆37Updated 5 years ago
- Kernel Identification Through Transformers☆14Updated 2 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Code for the ICML 2019 paper: Distribution Calibration for Regression☆22Updated 2 years ago
- Library for normalizing flows and neural flows.☆25Updated 3 years ago
- Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'☆47Updated 3 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 2 years ago
- ☆10Updated 3 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆73Updated 4 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- ☆51Updated last year
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆24Updated 6 years ago
- ☆17Updated 2 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆44Updated 7 years ago
- A Python library for variational inference with normalizing flow and annealing☆16Updated 6 months ago
- Bayesian optimization with conformal coverage guarantees☆28Updated 2 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated 2 years ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆29Updated 8 months ago
- Bayesian and Maximum Likelihood Implementation of the Normalizing Flow Network (NFN): https://arxiv.org/abs/1907.08982☆21Updated 4 years ago
- Contains legacy code and model examples for the paper "BayesFlow: Learning complex stochastic models with invertible neural networks"☆24Updated 4 years ago
- A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium☆21Updated 4 years ago