jwangjie / gpytorchLinks
A highly efficient and modular implementation of Gaussian Processes in PyTorch
☆16Updated 5 years ago
Alternatives and similar repositories for gpytorch
Users that are interested in gpytorch are comparing it to the libraries listed below
Sorting:
- Tutorial on Gaussian Processes☆62Updated 5 years ago
- Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.☆66Updated 8 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 4 years ago
- Multi-fidelity Gaussian Process☆27Updated 4 years ago
- ☆16Updated 3 years ago
- To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…☆49Updated 2 years ago
- ☆14Updated 3 years ago
- Bayesian neural networks via MCMC: tutorial☆55Updated 8 months ago
- PyTorch Implementation of Lusch et al DeepKoopman☆13Updated 2 years ago
- Consistent Koopman Autoencoders☆74Updated 2 years ago
- ☆87Updated 2 years ago
- Source code for "Deep Dynamical Modeling and Control of Unsteady Fluid Flows" from NeurIPS 2018☆49Updated 6 years ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆74Updated 4 years ago
- Bayesian optimization and active learning with likelihood-weighted acquisition functions☆15Updated last year
- Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling☆49Updated 3 years ago
- ☆29Updated 2 years ago
- Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.☆71Updated 8 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆31Updated 4 years ago
- Enhancing Dynamic Mode Decomposition using Autoencoder Networks.☆30Updated 4 years ago
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆40Updated 6 years ago
- AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)☆43Updated 2 years ago
- A Multi-objective Multi-fidelity acquisition function for Bayesian optimization based on EHVI method.☆10Updated 3 years ago
- A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269☆43Updated 7 years ago
- ☆16Updated 3 years ago
- mathLab mirror of Python Dynamic Mode Decomposition☆95Updated 4 months ago
- ☆13Updated 7 months ago
- ☆31Updated 2 years ago
- A hands-on tutorial on supervised learning with Gaussian processes☆37Updated 5 years ago
- ☆37Updated last year
- ☆41Updated 7 years ago