PDE-Net: Learning PDEs from Data
☆332Jun 26, 2021Updated 5 years ago
Alternatives and similar repositories for PDE-Net
Users that are interested in PDE-Net 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 pyTorch Extension for Applied Mathematics☆41Mar 17, 2020Updated 6 years ago
- ☆280Nov 4, 2022Updated 3 years ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆34Oct 30, 2023Updated 2 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆98May 11, 2022Updated 4 years ago
- Numerical Experiments☆15Jan 21, 2018Updated 8 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 for "Learning data-driven discretizations for partial differential equations"☆167Aug 19, 2025Updated 11 months ago
- ☆26Jun 16, 2018Updated 8 years ago
- Leibniz is a python package which provide facilities to express learnable partial differential equations with PyTorch☆15Sep 13, 2021Updated 4 years ago
- ☆197May 10, 2021Updated 5 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆368Dec 20, 2023Updated 2 years ago
- source code of learning to discretize solving 1d scalar conservation laws via deep reinforcement learning☆15Feb 2, 2021Updated 5 years ago
- Deep Learning application to the partial differential equations☆30May 5, 2018Updated 8 years ago
- Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators☆836Jun 25, 2022Updated 4 years ago
- Using graph network to solve PDEs☆452Jun 2, 2025Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆295Jul 30, 2022Updated 4 years ago
- Learning in infinite dimension with neural operators.☆3,808Aug 6, 2026Updated last week
- Deep BSDE solver in TensorFlow☆296Apr 18, 2025Updated last year
- ☆17May 21, 2020Updated 6 years ago
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆6,082Feb 11, 2026Updated 6 months ago
- ☆53Nov 6, 2023Updated 2 years ago
- Deep Galerkin Method☆17Feb 10, 2019Updated 7 years ago
- A library for scientific machine learning and physics-informed learning☆4,368Jul 27, 2026Updated 2 weeks ago
- Paper List For Linking ODE and Deep Learning☆244Feb 18, 2020Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆15May 11, 2020Updated 6 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆91Jan 24, 2021Updated 5 years ago
- Towards Physics-informed Deep Learning for Turbulent Flow Prediction☆28Oct 18, 2021Updated 4 years ago
- ☆18Jul 27, 2018Updated 8 years ago
- Experiments with Neural ODEs and Adversarial Attacks☆45Jan 13, 2019Updated 7 years ago
- Physics-informed learning of governing equations from scarce data☆170Jul 19, 2023Updated 3 years ago
- Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations☆161Feb 20, 2020Updated 6 years ago
- A differentiable PDE solving framework for machine learning☆1,926Jul 16, 2026Updated 3 weeks ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆100Aug 17, 2023Updated 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.
- Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond☆1,907Oct 10, 2025Updated 10 months 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
- UNIVR PDE course project and just for fun☆118May 26, 2017Updated 9 years ago
- Sparse Physics-based and Interpretable Neural Networks☆54Sep 30, 2021Updated 4 years ago
- ☆10Sep 21, 2019Updated 6 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Mar 20, 2023Updated 3 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆6,473Apr 4, 2025Updated last year