A hands-on tutorial on supervised learning with Gaussian processes
☆37Nov 22, 2019Updated 6 years ago
Alternatives and similar repositories for GPTutorial
Users that are interested in GPTutorial are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.☆71Dec 28, 2016Updated 9 years ago
- Tutorial on Gaussian Processes☆67Feb 20, 2020Updated 6 years ago
- One-Shot Transfer Learning of PINNs☆11Apr 26, 2026Updated 4 months ago
- DNS data of flows over periodic hills with parameterized geometries, for data-driven turbulence modeling☆52May 18, 2023Updated 3 years ago
- ☆63Jul 24, 2019Updated 7 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Training methodologies for autoregressive neural operators/emulators in JAX.☆15Jun 1, 2026Updated 3 months ago
- PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3☆14Nov 16, 2017Updated 8 years ago
- Uncertainty Quantification in the POD-NN framework☆24Sep 10, 2020Updated 6 years ago
- This repo contains the code of Transitional Markov chain Monte Carlo algorithm☆24Oct 26, 2022Updated 3 years ago
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆28Sep 7, 2023Updated 3 years ago
- Bayesian Active Learning with Fully Bayesian Gaussian Processes☆15Sep 29, 2022Updated 3 years ago
- This repository comprises Jupyter Notebooks that serve as supplementary material to the journal article titled "Review of Multifidelity M…☆12Sep 23, 2023Updated 3 years ago
- ☆19Oct 23, 2020Updated 5 years ago
- ☆10Jan 31, 2018Updated 8 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆42May 8, 2020Updated 6 years ago
- ☆29Jul 8, 2024Updated 2 years ago
- A toolbox for Sequential Bayesian Inference in uncertain nonlinear dynamic systems.☆18Apr 22, 2024Updated 2 years ago
- pseudo transfer entropy☆16Apr 11, 2022Updated 4 years ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆20Mar 23, 2023Updated 3 years ago
- Source code of "Point Set Voting for Partial Point Clouds Analysis"☆15Jan 5, 2021Updated 5 years ago
- Code for various active transfer learning projects.☆10Feb 9, 2015Updated 11 years ago
- Quantification of Uncertainties in Neural Networks☆11Aug 29, 2026Updated 3 weeks ago
- ☆14Jan 27, 2022Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Model-Order Reduction Framework for Nek5000☆16Aug 26, 2026Updated 3 weeks ago
- Bayesian optimization and active learning with likelihood-weighted acquisition functions☆14Jun 17, 2024Updated 2 years ago
- ☆14Sep 7, 2023Updated 3 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Jul 23, 2020Updated 6 years ago
- POD-PINN code and manuscript☆61Nov 10, 2024Updated last year
- Use Gaussian processes to estimate CNN classification uncertainty☆12Mar 3, 2018Updated 8 years ago
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆40Jul 4, 2015Updated 11 years ago
- A simple vanilla implementation of a recurrent LSTM neural network☆13Apr 29, 2017Updated 9 years ago
- Library for doing both symbolic and numeric calculations for linear Structural Causal Models (SCM)☆14May 20, 2024Updated 2 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- ODE modelling in Python☆31Sep 8, 2026Updated 2 weeks ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆77Dec 3, 2025Updated 9 months ago
- Literature and light wrappers for gaussian process models.☆48Jun 26, 2021Updated 5 years ago
- IANN (InterAtomic Neural Network) framework is an equivariant interatomic neural network potential framework package☆19Updated this week
- Summer 2020 reading group on uncertainty quantification☆24Jul 24, 2020Updated 6 years ago
- Keras implementation of pointnet for part segmentation on shapenet dataset☆14Apr 14, 2020Updated 6 years ago
- Neural Emulator Architectures in JAX.☆27Aug 25, 2026Updated 3 weeks ago