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.
☆745Updated 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☆919Updated last month
- OSS library that implements deep learning methods for partial differential equations and much more☆440Updated last month
- Physics-Informed Neural networks for Advanced modeling☆515Updated last week
- Using graph network to solve PDEs☆397Updated 3 weeks ago
- ☆313Updated last month
- ☆460Updated 2 months ago
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆561Updated 4 months ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆422Updated last month
- Learning nonlinear operators via DeepONet☆660Updated 2 years ago
- Computational Fluid Dynamics in JAX☆845Updated 2 months ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆230Updated 8 months ago
- ☆955Updated last week
- A differentiable PDE solving framework for machine learning☆1,626Updated 2 months ago
- ☆349Updated 2 years ago
- PyTorch Implementation of Physics-informed Neural Networks☆631Updated last year
- Investigating PINNs☆606Updated 3 years ago
- Python package for solving partial differential equations using finite differences.☆441Updated this week
- PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks☆310Updated last year
- Code for our paper "Hamiltonian Neural Networks"☆474Updated 4 years ago
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆177Updated 4 years ago
- ☆212Updated 3 years ago
- A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…☆1,439Updated 9 months ago
- Deep learning for Engineers - Physics Informed Deep Learning☆339Updated last year
- ☆181Updated 2 months ago
- Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated s…☆1,084Updated 2 weeks ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,504Updated last year
- A flexible framework for solving PDEs with modern spectral methods.☆579Updated 3 weeks ago
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆151Updated 5 months ago
- ☆263Updated 9 months ago
- A library for scientific machine learning and physics-informed learning☆3,296Updated last week