This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.
☆188Feb 25, 2021Updated 5 years ago
Alternatives and similar repositories for PDEsByNNs
Users that are interested in PDEsByNNs are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- DiffNet: A FEM based neural PDE solver package☆12Apr 9, 2024Updated 2 years ago
- ☆42May 8, 2020Updated 6 years ago
- Deep Neural Network Framework Based on Backward Stochastic Differential Equations for Pricing and Hedging American Options in High Dimens…☆21Nov 12, 2020Updated 5 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆267Nov 30, 2023Updated 2 years ago
- Deep multistep methods to solve BSDEs of first and second order for the approximation of PDE solutions☆21May 29, 2020Updated 6 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.
- Publication of Python code used to train ModalPINN☆11May 5, 2022Updated 4 years ago
- Deep BSDE solver in TensorFlow☆295Apr 18, 2025Updated last year
- ☆12Feb 14, 2022Updated 4 years ago
- This repository introduces Partial Differential Equation Solver using neural network that can learn resolution-invariant solution operato…☆17Nov 23, 2021Updated 4 years ago
- Solving High Dimensional Partial Differential Equations with Deep Neural Networks☆34Dec 21, 2021Updated 4 years ago
- ☆11Jan 5, 2021Updated 5 years ago
- Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated s…☆1,209Updated this week
- A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems☆33Nov 7, 2025Updated 8 months ago
- Different methods of solving partial differential equations with neural networks☆18Oct 21, 2021Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆173Jan 12, 2025Updated last year
- Physics Informed Neural Network (PINN) for Burgers' equation.☆76Aug 21, 2024Updated last year
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆98May 11, 2022Updated 4 years ago
- ☆35Aug 20, 2024Updated last year
- Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations☆160Feb 20, 2020Updated 6 years ago
- PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks☆316Feb 9, 2024Updated 2 years ago
- A library for scientific machine learning and physics-informed learning☆4,317Jun 24, 2026Updated last month
- ☆118Feb 5, 2025Updated last year
- ☆14Dec 6, 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.
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆677May 31, 2026Updated last month
- ☆19Feb 27, 2026Updated 4 months ago
- Must-read Papers on Physics-Informed Neural Networks.☆1,526Dec 8, 2023Updated 2 years ago
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆6,043Feb 11, 2026Updated 5 months 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
- XPINN code written in TensorFlow 2☆28Feb 1, 2023Updated 3 years ago
- Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.☆41Nov 2, 2024Updated last year
- Implementation of the Deep xVA Solver of Gnoatto, Picarelli and Reisinger (2020) https://arxiv.org/abs/2005.02633☆19Aug 6, 2020Updated 5 years ago
- Codes for finite element method☆35Jul 17, 2026Updated last 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.
- ☆268Oct 14, 2021Updated 4 years ago
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆293Jul 30, 2022Updated 3 years ago
- ☆426Dec 3, 2022Updated 3 years ago
- The public repository about our joint FINN research project☆38Oct 28, 2022Updated 3 years ago
- Spectral methods in matlab☆12Mar 27, 2025Updated last year
- Deep learning library for solving differential equations on top of PyTorch.☆63Jul 30, 2020Updated 5 years ago
- ☆548Apr 1, 2025Updated last year