j-wilson / GPflowSamplingLinks
Code for efficiently sampling functions from GP(flow) posteriors
☆72Updated 4 years ago
Alternatives and similar repositories for GPflowSampling
Users that are interested in GPflowSampling are comparing it to the libraries listed below
Sorting:
- Nonparametric Differential Equation Modeling☆53Updated last year
- Deep GPs built on top of TensorFlow/Keras and GPflow☆125Updated 7 months ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆62Updated 4 years ago
- Extensible Tensorflow library for differentiable particle filtering. ICML 2021.☆42Updated 2 years ago
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆12Updated last year
- A generic interface for linear algebra backends☆73Updated 3 months ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆103Updated last year
- Light-weighted code for Orthogonal Additive Gaussian Processes☆42Updated 10 months ago
- Learning unknown ODE models with Gaussian processes☆26Updated 6 years ago
- Implementation of stochastic variational inference for differentially deep gaussian processes☆15Updated 6 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- ☆29Updated 2 years ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆48Updated this week
- Gaussian Processes for Sequential Data☆18Updated 4 years ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆29Updated 4 months ago
- Normalizing Flows using JAX☆83Updated last year
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Updated 11 months ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆99Updated last year
- Library for Bayesian Quadrature☆32Updated 6 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Library for Deep Gaussian Processes based on GPflow☆19Updated 5 years ago
- Offline Contextual Bayesian Optimization☆14Updated last year
- Sequential Neural Likelihood☆40Updated 5 years ago
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆27Updated 4 years ago
- ☆20Updated 2 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago
- ☆52Updated 2 years ago