trappmartin / DeepStructuredMixtures
Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)
☆11Updated 3 years ago
Alternatives and similar repositories for DeepStructuredMixtures
Users that are interested in DeepStructuredMixtures are comparing it to the libraries listed below
Sorting:
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Nonparametric Differential Equation Modeling☆53Updated last year
- Modular Gaussian Processes☆15Updated 3 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆31Updated 10 months ago
- ☆15Updated 2 years ago
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Updated 2 years ago
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 5 years ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 4 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆21Updated 3 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- A framework for composing Neural Processes in Julia☆76Updated 4 years ago
- Gaussian Processes for Sequential Data☆18Updated 4 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Scalable Gaussian Process Regression with Derivatives☆38Updated 6 years ago
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Updated 3 years ago
- ☆30Updated 7 months ago
- ☆14Updated last year
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆11Updated last year
- Learning unknown ODE models with Gaussian processes☆26Updated 6 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 4 years ago
- ☆29Updated 2 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- A community repository for benchmarking Bayesian methods☆11Updated last year
- Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization☆15Updated 2 years ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆62Updated 4 years ago
- Provides a heteroscedastic noise latent for a sparse variational Gaussian process using GPflow☆13Updated 4 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 4 years ago