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
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆25Updated 3 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- orbital MCMC☆10Updated 4 years ago
- Implementation of stochastic variational inference for differentially deep gaussian processes☆15Updated 6 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
- Library for Bayesian Quadrature☆32Updated 6 years ago
- Code for "Log Neural Controlled Differential Equations: The Lie Brackets Make a Difference" (ICML 2024)☆23Updated 3 months ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 2 years ago
- ☆38Updated 5 years ago
- Bayesian and Maximum Likelihood Implementation of the Normalizing Flow Network (NFN): https://arxiv.org/abs/1907.08982☆21Updated 4 years ago
- Fast graph classifier with optical random features☆12Updated 4 years ago
- Modern Gaussian Processes: Scalable Inference and Novel Applications☆20Updated 6 years ago
- ☆10Updated 3 years ago
- Bayesian algorithm execution (BAX)☆50Updated 4 years ago
- Library for normalizing flows and neural flows.☆25Updated 3 years ago
- Canonical Correlation Forests☆21Updated 7 years ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆29Updated 7 months ago
- Implementation of Action Matching for the Schrödinger equation☆23Updated 2 years ago
- We got a stew going!☆27Updated last year
- A Python library for variational inference with normalizing flow and annealing☆16Updated 6 months ago
- Kernel Identification Through Transformers☆14Updated 2 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium☆21Updated 4 years ago
- A community repository for benchmarking Bayesian methods☆11Updated 2 years ago
- Contains legacy code and model examples for the paper "BayesFlow: Learning complex stochastic models with invertible neural networks"☆24Updated 4 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities☆22Updated last year