PredictiveIntelligenceLab / USNCCM15-Short-Course-Recent-Advances-in-Physics-Informed-Deep-LearningView on GitHub
☆119Jul 28, 2019Updated 7 years ago
Alternatives and similar repositories for USNCCM15-Short-Course-Recent-Advances-in-Physics-Informed-Deep-Learning
Users that are interested in USNCCM15-Short-Course-Recent-Advances-in-Physics-Informed-Deep-Learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆66Mar 22, 2023Updated 3 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆368Dec 20, 2023Updated 2 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆22Mar 25, 2023Updated 3 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Jul 23, 2020Updated 6 years ago
- ☆272Oct 14, 2021Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- XPINN code written in TensorFlow 2☆28Feb 1, 2023Updated 3 years ago
- An implementation of a neural network training routine using derivative information in Pytorch.☆11Dec 19, 2020Updated 5 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆267Nov 30, 2023Updated 2 years ago
- ☆21Sep 28, 2020Updated 5 years ago
- Lecture and hands-on material for Track 6 - AI/ML - of Argonne Training Program on Extreme-Scale Computing☆51Aug 7, 2026Updated last month
- A place to share problems solved with SciANN☆312Nov 6, 2023Updated 2 years ago
- ☆63Jul 24, 2019Updated 7 years ago
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆6,168Feb 11, 2026Updated 7 months ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆44Jul 12, 2023Updated 3 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.
- Physics-informed neural networks☆16Nov 26, 2020Updated 5 years ago
- ☆16Oct 25, 2021Updated 4 years ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆118Mar 1, 2022Updated 4 years ago
- Simplified implementation of locally adaptive activation functions (LAAF) with slope recovery for deep and physics-informed neural networ…☆31Mar 8, 2021Updated 5 years ago
- ☆20May 29, 2020Updated 6 years ago
- Automatic Differentiation Library for Computational and Mathematical Engineering☆321Oct 18, 2023Updated 2 years ago
- Benchmark for learning stiff problems using physics-informed machine learning☆13Dec 15, 2021Updated 4 years ago
- POD-PINN code and manuscript☆61Nov 10, 2024Updated last year
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆100Aug 17, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code to estimate Renormalized Mutual Information in simple settings☆13Mar 8, 2021Updated 5 years ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆34Oct 30, 2023Updated 2 years ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆12Apr 23, 2021Updated 5 years ago
- ☆21Apr 26, 2024Updated 2 years ago
- pyPCGA: fast and scalable inverse modeling approach☆27Mar 18, 2026Updated 6 months ago
- ☆11Apr 12, 2019Updated 7 years ago
- ☆34Oct 5, 2020Updated 5 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Mar 20, 2023Updated 3 years ago
- ME 539 - Introduction to Scientific Machine Learning☆139Updated this week
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆293Jul 30, 2022Updated 4 years ago
- CME250Q: Introduction to quantum computing and quantum algorithms☆15Nov 5, 2019Updated 6 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆63Dec 7, 2020Updated 5 years ago
- Convolutional Solvers for Partial Differential Equations☆28Jun 29, 2020Updated 6 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆97May 11, 2022Updated 4 years ago
- A library for scientific machine learning and physics-informed learning☆4,436Aug 18, 2026Updated last month
- Volterra Integral Equation Solver☆12Feb 3, 2016Updated 10 years ago