jwangjie / gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
☆16Updated 4 years ago
Alternatives and similar repositories for gpytorch:
Users that are interested in gpytorch are comparing it to the libraries listed below
- Tutorial on Gaussian Processes☆62Updated 5 years ago
- Bayesian optimization and active learning with likelihood-weighted acquisition functions☆16Updated 10 months ago
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆27Updated 4 years ago
- Multi-fidelity Gaussian Process☆26Updated 4 years ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆73Updated 3 years ago
- ☆15Updated 3 years ago
- Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.☆72Updated 7 years ago
- Python model for constrained GP☆24Updated 4 years ago
- Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.☆63Updated 8 years ago
- A hands-on tutorial on supervised learning with Gaussian processes☆36Updated 5 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆30Updated 4 years ago
- Code for the paper "Auto differentiable Ensemble Kalman Filters" (https://arxiv.org/abs/2107.07687), accepted for publication in SIAM Jou…☆31Updated 2 years ago
- ☆15Updated 4 years ago
- A Multi-objective Multi-fidelity acquisition function for Bayesian optimization based on EHVI method.☆10Updated 2 years ago
- Streaming sparse Gaussian process approximations☆64Updated 2 years ago
- Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling☆48Updated 3 years ago
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆49Updated 4 years ago
- An Intuitive Tutorial to Gaussian Processes Regression☆599Updated last year
- Online variational GPs☆32Updated last year
- Bayesian neural networks via MCMC: tutorial☆52Updated 6 months ago
- ☆26Updated last month
- Collection of Multi-Fidelity benchmark functions☆27Updated 8 months ago
- ☆29Updated 2 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆73Updated 3 years ago
- Sparse Spectrum Gaussian Process Regression☆22Updated 5 years ago
- Multi-Output Gaussian Process Toolkit☆172Updated last year
- Multi-Information Source Optimization☆23Updated 5 years ago
- Offline Contextual Bayesian Optimization☆14Updated last year
- Heterogeneous Multi-output Gaussian Processes☆52Updated 4 years ago
- Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"☆40Updated last year