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 6 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☆1,060Updated 8 months ago
- Physics-Informed Neural networks for Advanced modeling☆703Updated this week
- ☆402Updated 2 months ago
- Using graph network to solve PDEs☆431Updated 8 months ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆519Updated 2 months ago
- OSS library that implements deep learning methods for partial differential equations and much more☆459Updated 4 months ago
- ☆508Updated 10 months ago
- Learning nonlinear operators via DeepONet☆756Updated 3 years ago
- A differentiable PDE solving framework for machine learning☆1,803Updated 2 weeks ago
- Computational Fluid Dynamics in JAX☆920Updated 3 weeks ago
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆640Updated 2 weeks ago
- ☆1,079Updated last week
- Python package for solving partial differential equations using finite differences.☆454Updated this week
- ☆241Updated 4 years ago
- PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks☆312Updated 2 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆363Updated 2 years ago
- Investigating PINNs☆725Updated 4 years ago
- PyTorch Implementation of Physics-informed Neural Networks☆701Updated last year
- ☆384Updated 3 years ago
- ☆274Updated 3 years ago
- ☆215Updated last year
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆159Updated last year
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆181Updated 4 years ago
- ☆200Updated 10 months ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆265Updated 2 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆271Updated 4 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆150Updated 4 years ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆243Updated last year
- A flexible framework for solving PDEs with modern spectral methods.☆647Updated 3 weeks ago
- ☆199Updated last year