NeuroDiffGym / neurodiffeqLinks
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
☆770Updated 4 months ago
Alternatives and similar repositories for neurodiffeq
Users that are interested in neurodiffeq are comparing it to the libraries listed below
Sorting:
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,025Updated 7 months ago
- Physics-Informed Neural networks for Advanced modeling☆685Updated last week
- ☆388Updated last month
- Using graph network to solve PDEs☆425Updated 6 months ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆504Updated 3 weeks ago
- Learning nonlinear operators via DeepONet☆736Updated 3 years ago
- OSS library that implements deep learning methods for partial differential equations and much more☆456Updated 2 months ago
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆621Updated 10 months ago
- ☆500Updated 8 months ago
- A differentiable PDE solving framework for machine learning☆1,782Updated 2 months ago
- Deep learning for Engineers - Physics Informed Deep Learning☆355Updated 2 years ago
- ☆1,054Updated last week
- Investigating PINNs☆704Updated 4 years ago
- PyTorch Implementation of Physics-informed Neural Networks☆689Updated last year
- PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks☆312Updated last year
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆181Updated 4 years ago
- Lagrangian Neural Networks☆530Updated 3 months ago
- ☆235Updated 4 years ago
- Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated s…☆1,150Updated this week
- Python package for solving partial differential equations using finite differences.☆451Updated this week
- ☆213Updated last year
- ☆375Updated 3 years ago
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆284Updated 3 years ago
- Code for our paper "Hamiltonian Neural Networks"☆498Updated 4 years ago
- ☆273Updated 3 years ago
- PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.☆150Updated last year
- Computational Fluid Dynamics in JAX☆901Updated 3 weeks ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆244Updated last year
- All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.co…☆1,120Updated 6 months ago
- Must-read Papers on Physics-Informed Neural Networks.☆1,372Updated 2 years ago