Sparse Physics-based and Interpretable Neural Networks
☆54Sep 30, 2021Updated 4 years ago
Alternatives and similar repositories for SPINN
Users that are interested in SPINN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neur…☆15Apr 12, 2024Updated 2 years ago
- Physics-informed radial basis network☆42May 20, 2024Updated 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-Informed deep LSTM architecture to forecast Lorenz and MFE fluid systems☆14May 18, 2020Updated 6 years ago
- ☆116Oct 16, 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.
- ☆16Updated this week
- ☆13Dec 5, 2022Updated 3 years ago
- Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method☆65Jun 21, 2022Updated 4 years ago
- Implementation of Physics-Informed PointNet (PIPN) for weakly-supervised learning of 2D linear elasticity (plane stress) on multiple sets…☆13Apr 11, 2024Updated 2 years ago
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆19Dec 6, 2024Updated last year
- Deep finite volume method☆22Jun 26, 2024Updated 2 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 2 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Mar 20, 2023Updated 3 years ago
- ☆13May 30, 2024Updated 2 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.
- ☆23Oct 23, 2020Updated 5 years ago
- ☆16Nov 20, 2023Updated 2 years ago
- Python 3.6 and TensorFlow implementation of the AReS and MaRS algorithms☆11Jun 23, 2019Updated 7 years ago
- sindyr: Tools for Sparse Identification of Nonlinear Dynamics with R☆16May 1, 2024Updated 2 years ago
- Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms☆12Nov 4, 2024Updated last year
- physics-informed neural network for elastodynamics problem☆164Jan 20, 2022Updated 4 years ago
- Original implementation of fast PINN optimization with RBA weights☆76Sep 11, 2025Updated 10 months ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆99Aug 17, 2023Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆80Sep 13, 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.
- PECANNs: Physics and Equality Constrained Artificial Neural Networks☆26Mar 30, 2026Updated 3 months ago
- Predicting wave propagation on shallow water with deep neural networks☆23Oct 3, 2023Updated 2 years ago
- code☆20Sep 8, 2023Updated 2 years ago
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆178Sep 6, 2024Updated last year
- Code for data-assisted reduced-order modeling of extreme events in complex dynamical systems, available on arXiv: https://arxiv.org/abs/1…☆22Aug 22, 2018Updated 7 years ago
- A place to share problems solved with SciANN☆310Nov 6, 2023Updated 2 years ago
- Particles-in-UNstructured-Cells, C++ version☆14Apr 9, 2021Updated 5 years ago
- ☆37Jul 16, 2026Updated last week
- Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.☆41Nov 2, 2024Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆36Apr 15, 2023Updated 3 years ago
- PLLay: Efficient Topological Layer based on Persistence Landscapes☆23Dec 10, 2020Updated 5 years ago
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆10Sep 4, 2025Updated 10 months ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆249Oct 21, 2024Updated last year
- ☆17Mar 10, 2022Updated 4 years ago
- PINN-COVID analyzes a plurality of epidemiological models through the lens of physics-informed neural networks (PINNs).☆22Oct 12, 2021Updated 4 years ago
- ☆14Dec 9, 2024Updated last year