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
Sorting:
- Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.☆71Dec 28, 2016Updated 9 years ago
- ☆63Jul 24, 2019Updated 6 years ago
- Uncertainty Quantification in the POD-NN framework☆24Sep 10, 2020Updated 5 years ago
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆27Sep 7, 2023Updated 2 years ago
- One-Shot Transfer Learning of PINNs☆11Jun 13, 2023Updated 2 years ago
- ☆29Jul 8, 2024Updated last year
- PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3☆15Nov 16, 2017Updated 8 years ago
- Tutorial on Gaussian Processes☆65Feb 20, 2020Updated 6 years ago
- Bayesian optimization and active learning with likelihood-weighted acquisition functions☆15Jun 17, 2024Updated last year
- ☆16Apr 20, 2018Updated 7 years ago
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆16Sep 7, 2023Updated 2 years ago
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆39Jul 4, 2015Updated 10 years ago
- Using OpenFOAM with SmartSim. This example implements a streaming version of the TensorFlowFOAM work☆27Jun 16, 2025Updated 8 months ago
- ☆42May 8, 2020Updated 5 years ago
- Neural Emulator Architectures in JAX.☆23Feb 20, 2026Updated last week
- ☆17May 29, 2021Updated 4 years ago
- Control of 2D Rayleigh Benard Convection using Deep Reinforcement Learning with Tensorforce and Shenfun.☆21Jul 5, 2023Updated 2 years ago
- ☆26Oct 15, 2020Updated 5 years ago
- ☆19Oct 23, 2020Updated 5 years ago
- DNS data of flows over periodic hills with parameterized geometries, for data-driven turbulence modeling☆50May 18, 2023Updated 2 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 2 years ago
- POD-PINN code and manuscript☆58Nov 10, 2024Updated last year
- PINN-COVID analyzes a plurality of epidemiological models through the lens of physics-informed neural networks (PINNs).☆23Oct 12, 2021Updated 4 years ago
- Differentiable Gaussian Process implementation for PyTorch☆22Jul 8, 2018Updated 7 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Jul 23, 2020Updated 5 years ago
- Tensor decomposition with arbitrary expressions: inner, outer, elementwise operators; nonlinear transformations; and more.☆59Sep 15, 2022Updated 3 years ago
- ☆21Mar 14, 2023Updated 2 years ago
- Example of creating and activating Anaconda environments on different OSs with Azure Pipelines☆24Apr 29, 2019Updated 6 years ago
- Multi Fidelity Monte Carlo☆24Feb 8, 2020Updated 6 years ago
- ☆28Oct 26, 2022Updated 3 years ago
- Matlab code for the introduction to Gaussian processes, 2008☆30May 13, 2015Updated 10 years ago
- Tutorial: Writing R and Python Packages with Multithreaded C++ Code using BLAS, AVX2/AVX512, OpenMP, C++11 Threads and Cuda GPU accelerat…☆13Nov 27, 2022Updated 3 years ago
- Flood Mapping Intercomparison☆15Nov 5, 2025Updated 3 months ago
- My list of essential Linux applications.☆27Nov 9, 2025Updated 3 months ago
- Bayesian statistics seminars☆29Apr 15, 2017Updated 8 years ago
- ☆33Aug 31, 2022Updated 3 years ago
- This repository contains application codes and solutions for the Book on "OpenACC for Programmers - Concept & Strategies".☆34Feb 19, 2019Updated 7 years ago
- Systems biology: Identifiability analysis and parameter identification via systems-biology-informed neural networks☆36Mar 20, 2025Updated 11 months ago
- ☆240Oct 14, 2021Updated 4 years ago