Deep learning for Engineers - Physics Informed Deep Learning
☆368Dec 20, 2023Updated 2 years ago
Alternatives and similar repositories for sciann
Users that are interested in sciann are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A place to share problems solved with SciANN☆312Nov 6, 2023Updated 2 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
- A library for scientific machine learning and physics-informed learning☆4,463Aug 18, 2026Updated last month
- ☆119Jul 28, 2019Updated 7 years ago
- PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks☆315Feb 9, 2024Updated 2 years ago
- 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.
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆271Feb 1, 2023Updated 3 years ago
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆6,199Feb 11, 2026Updated 8 months ago
- physics-informed neural network for elastodynamics problem☆164Jan 20, 2022Updated 4 years ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆251Oct 21, 2024Updated last year
- Must-read Papers on Physics-Informed Neural Networks.☆1,552Dec 8, 2023Updated 2 years ago
- PINN program for computational mechanics☆154Apr 1, 2024Updated 2 years ago
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆790Apr 22, 2026Updated 5 months ago
- ☆178Jun 27, 2022Updated 4 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆267Nov 30, 2023Updated 2 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 (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated s…☆1,235Updated this week
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆63Apr 19, 2026Updated 5 months ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆301Oct 12, 2021Updated 5 years ago
- ☆23Feb 21, 2024Updated 2 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆231Feb 21, 2023Updated 3 years ago
- Automatic Differentiation Library for Computational and Mathematical Engineering☆321Oct 18, 2023Updated 2 years ago
- ☆16Nov 20, 2023Updated 2 years ago
- ☆274Oct 14, 2021Updated 5 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆95Aug 26, 2025Updated last year
- 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.
- ☆63Jul 24, 2019Updated 7 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆100Aug 17, 2023Updated 3 years ago
- PyTorch Implementation of Physics-informed Neural Networks☆724May 20, 2024Updated 2 years ago
- Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms☆12Nov 4, 2024Updated last year
- PDE-Net: Learning PDEs from Data☆332Jun 26, 2021Updated 5 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆62Jan 25, 2022Updated 4 years ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆577May 29, 2026Updated 4 months ago
- Physics-guided neural network framework for elastic plates☆51Mar 24, 2022Updated 4 years ago
- Physics-informed neural networks package☆348Jul 20, 2022Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six a…☆13Nov 17, 2022Updated 3 years ago
- Source code for paper "A Marker-and-Cell Method for Large-Scale Flow-Based Topology Optimization on GPU"☆10Feb 26, 2022Updated 4 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆152Nov 18, 2021Updated 4 years ago
- ☆431Dec 3, 2022Updated 3 years ago
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆687Sep 12, 2026Updated last month
- ☆19Feb 3, 2022Updated 4 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Jul 23, 2020Updated 6 years ago