gpschool / gpss21Links
☆12Updated 2 years ago
Alternatives and similar repositories for gpss21
Users that are interested in gpss21 are comparing it to the libraries listed below
Sorting:
- ☆30Updated 2 years ago
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆27Updated 4 years ago
- Library for Bayesian Quadrature☆32Updated 6 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆42Updated 11 months ago
- Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".☆17Updated last year
- A community repository for benchmarking Bayesian methods☆11Updated 2 years ago
- Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'☆47Updated 3 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆53Updated last year
- Python package 'dgpsi' for deep and linked Gaussian process emulations☆27Updated 6 months ago
- Implementing a Gaussian Process regression model from scratch☆23Updated 4 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Updated last year
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated 9 months ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- Bayesian optimization with conformal coverage guarantees☆28Updated 2 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …☆15Updated 2 years ago
- Bayesian algorithm execution (BAX)☆49Updated 3 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆22Updated 4 years ago
- Library for normalizing flows and neural flows.☆24Updated 3 years ago
- Benchmark functions for Bayesian optimization☆33Updated last year
- Literature and light wrappers for gaussian process models.☆48Updated 4 years ago
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆12Updated last year
- Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"☆54Updated 3 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- A software package for flexible HPC GPs☆16Updated last week
- Neat Bayesian machine learning examples☆58Updated 3 weeks ago
- Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory☆35Updated 3 years ago
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Updated 4 years ago
- An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)☆41Updated 3 years ago