Physics-informed neural networks (PINNs)
☆15Jun 7, 2022Updated 4 years ago
Alternatives and similar repositories for pinns
Users that are interested in pinns are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆12Apr 18, 2023Updated 3 years ago
- 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
- Allen-Cahn Equation☆16Feb 20, 2023Updated 3 years ago
- 2nd Order Wave Equation PINN Solution/ TensorFlow & PyTorch☆36Aug 2, 2022Updated 3 years ago
- ☆20Mar 14, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Paper List of Physics-Informed Neural Network (PINN)☆85Jul 1, 2026Updated last week
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆30May 8, 2023Updated 3 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆106Oct 24, 2022Updated 3 years ago
- Physics Informed Neural Networks (PINNs) + SPINNs + HyperPINNs + Adaptative Loss Weights with JAX 📓 Check out our various notebooks to g…☆48Jun 2, 2026Updated last month
- Original implementation of fast PINN optimization with RBA weights☆76Sep 11, 2025Updated 9 months ago
- ☆47Nov 27, 2023Updated 2 years ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆78Apr 17, 2026Updated 2 months ago
- This is the official implementation of physics-informed neural networks for functional differential equations (Functional PINN) proposed …☆12Apr 9, 2025Updated last year
- Different methods of solving partial differential equations with neural networks☆18Oct 21, 2021Updated 4 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.
- ☆18Aug 9, 2023Updated 2 years ago
- Variational Physic-informed Neural Operator (VINO) for Learning Partial Differential Equations☆38Apr 1, 2026Updated 3 months ago
- Basic deep learning models in PyTorch.☆10May 18, 2020Updated 6 years ago
- 2D wave equation simulated by PINN and FDM☆14Feb 20, 2022Updated 4 years ago
- The DynaGen model allows the prediction of dynamical field data based on microstructure input. The model is exemplified to dynamic fractu…☆12Mar 17, 2023Updated 3 years ago
- ☆17Jun 6, 2023Updated 3 years ago
- MMPDElab package☆12Jun 14, 2025Updated last year
- Physics Informed Neural Networks (PINNs) is a machine learning technique that incorporates physical laws and constraints into the neural …☆12Sep 27, 2024Updated last year
- 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
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Molecular dynamics simulations in Python and Cython. Simulates Lennard-Jones particles in the NVE ensemble using the Verlet method and hi…☆12Jun 2, 2015Updated 11 years ago
- A basic example of using physics informed machine learning for enhanced structural dynamics modeling☆10Jul 7, 2023Updated 3 years ago
- This repository contains some sentiment analysis models and sequence tagging models, including BiLSTM, TextCNN, BERT for both tasks. All …☆13Feb 1, 2023Updated 3 years ago
- Biologically-informed neural networks☆43Dec 3, 2020Updated 5 years ago
- Tumor growth modeling toolkit. Tumor growth numerical solvers.☆17Oct 13, 2025Updated 8 months ago
- Physics-informed graph neural network (GNN) emulation of soft-tissue mechanics☆48Mar 2, 2026Updated 4 months ago
- Transition-based neural dependency parser☆16Aug 14, 2018Updated 7 years ago
- Physics-Informed Neural Networks designed to solve the Two-Dimensional Wave Equation in both TensorFlow and PyTorch. Code is designed to …☆16Nov 3, 2022Updated 3 years ago
- 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆12Apr 29, 2026Updated 2 months ago
- 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.
- Build a Recurrent Neural Network solving Optimization Problems☆10Nov 17, 2021Updated 4 years ago
- ☆218Feb 16, 2024Updated 2 years ago
- PF-PINNs: physics-informed neural networks framework for solving coupled Allen-Cahn and Cahn-Hilliard phase field equations☆34Feb 18, 2025Updated last year
- Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"☆20Jul 25, 2024Updated last year
- This package aims to calculate the phase velocity and azimuth anisotropy of surface waves using the wave field spatial gradient (du/dx,du…☆14Dec 13, 2024Updated last year
- ☆121Mar 15, 2024Updated 2 years ago
- This repository hosts a PyTorch implementation for the paper 'Solving Fokker-Planck equation using deep learning '☆12Nov 27, 2020Updated 5 years ago