Uncertainty Quantification in the POD-NN framework
☆24Sep 10, 2020Updated 5 years ago
Alternatives and similar repositories for POD-UQNN
Users that are interested in POD-UQNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Mar 20, 2023Updated 3 years ago
- POD-PINN code and manuscript☆58Nov 10, 2024Updated last year
- Standardized Non-Intrusive Reduced Order Modeling☆13Nov 30, 2022Updated 3 years ago
- postProcessing tool for OpenFOAM, transform OpenFOAM fields to one single file by columns☆17May 11, 2021Updated 4 years ago
- LES-ML closures for Kraichnan turbulence☆19Feb 3, 2020Updated 6 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- ☆63Jul 24, 2019Updated 6 years ago
- Python Hydraulic Modeling Tools - 2D☆109Mar 17, 2026Updated last week
- Workshops on CFD at the University of Houston☆15Mar 18, 2019Updated 7 years ago
- Publication of Python code used to train ModalPINN☆11May 5, 2022Updated 3 years ago
- The Gerris based Solid-Fluid system solver☆13Apr 20, 2021Updated 4 years ago
- Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere☆20Nov 18, 2022Updated 3 years ago
- ☆18Mar 30, 2020Updated 5 years ago
- 2020 Gaofen Challenge data, baselines, and metrics☆10Apr 2, 2021Updated 4 years ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆12Apr 23, 2021Updated 4 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- This repository is a collection of user elements for FEAP and generated using AceGen☆12Aug 26, 2021Updated 4 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
- Deep learning framework for model reduction of dynamical systems☆21Dec 31, 2020Updated 5 years ago
- Deep residual networks for dimensionality reduction and surrogate modeling in high-dimensional inverse problems☆10Mar 20, 2021Updated 5 years ago
- Materials to reproduce the paper "Spatiotemporal patterns of urbanization in three Swiss urban agglomerations: insights from landscape me…☆13Oct 23, 2020Updated 5 years ago
- HAPOD - Hierarchical Approximate Proper Orthogonal Decomposition☆15Aug 23, 2021Updated 4 years ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆20Sep 14, 2022Updated 3 years ago
- Compiling Custom solvers☆15Jul 6, 2019Updated 6 years ago
- WaterNetV1. Official implementation of "WaterNet: An adaptive matching pipeline for segmenting water with volatile appearance", published…☆11Jul 21, 2023Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Jul 23, 2020Updated 5 years ago
- Deep learning for hydraulic modeling☆13May 27, 2023Updated 2 years ago
- YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documenta…☆21Sep 11, 2022Updated 3 years ago
- A PyTorch implementation of Temporal Generative Adversarial Nets with Singular Value Clipping☆11Nov 22, 2017Updated 8 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
- A python package to process input and output files of HiPIMS☆12May 6, 2024Updated last year
- Python program for EOF analysis of MIKE 21 data to enable training of Sparse Gaussian Process models to predict flood inundation extent.☆10Apr 11, 2024Updated last year
- Duke Machine Learning Winter School 2019☆27Jan 9, 2019Updated 7 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆95Aug 17, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Solving inverse problems using conditional invertible neural networks.☆33Mar 23, 2021Updated 5 years ago
- Source code for "Probabilistic neural networks for fluid flow model-order reduction and data recovery"☆11Sep 19, 2020Updated 5 years ago
- A hands-on tutorial on supervised learning with Gaussian processes☆37Nov 22, 2019Updated 6 years ago
- Domain Adaptation with Adversarial Training and Graph Embeddings☆15Aug 14, 2018Updated 7 years ago
- ☆16Apr 25, 2020Updated 5 years ago
- A PyTorch implementation of BatchBALD on the MNIST dataset☆13Sep 16, 2020Updated 5 years ago
- A new WatNet version which further extends the data applicability from Sentinel-2 image to Landsat-5, 7, 8 images.☆13Mar 3, 2026Updated 3 weeks ago