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.
☆772Updated 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☆1,056Updated 8 months ago
- Physics-Informed Neural networks for Advanced modeling☆699Updated this week
- ☆400Updated 2 months ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆519Updated 2 months ago
- Using graph network to solve PDEs☆431Updated 8 months ago
- ☆506Updated 10 months ago
- Learning nonlinear operators via DeepONet☆753Updated 3 years ago
- A differentiable PDE solving framework for machine learning☆1,803Updated last week
- ☆214Updated last year
- OSS library that implements deep learning methods for partial differential equations and much more☆459Updated 4 months ago
- ☆241Updated 4 years ago
- All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.co…☆1,137Updated last month
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆639Updated last week
- Deep learning for Engineers - Physics Informed Deep Learning☆363Updated 2 years ago
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆181Updated 4 years ago
- ☆1,079Updated last week
- ☆384Updated 3 years ago
- Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated s…☆1,163Updated this week
- Computational Fluid Dynamics in JAX☆915Updated 3 weeks ago
- ☆200Updated 10 months ago
- PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks☆312Updated last year
- ☆274Updated 3 years ago
- Investigating PINNs☆722Updated 4 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆265Updated 2 years ago
- Python package for solving partial differential equations using finite differences.☆454Updated this week
- PyTorch Implementation of Physics-informed Neural Networks☆701Updated last year
- This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.☆327Updated 8 months ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆243Updated last year
- Lagrangian Neural Networks☆538Updated 4 months ago
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆159Updated last year