lululxvi / deepxdeLinks
A library for scientific machine learning and physics-informed learning
☆3,306Updated last week
Alternatives and similar repositories for deepxde
Users that are interested in deepxde are comparing it to the libraries listed below
Sorting:
- Must-read Papers on Physics-Informed Neural Networks.☆1,205Updated last year
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆4,770Updated last year
- Learning nonlinear operators via DeepONet☆664Updated 3 years ago
- PyTorch Implementation of Physics-informed Neural Networks☆634Updated last year
- ☆962Updated this week
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆557Updated 2 weeks ago
- Investigating PINNs☆607Updated 3 years ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆922Updated last month
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆562Updated 4 months ago
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆746Updated 4 months ago
- ☆462Updated 2 months ago
- Physics-Informed Neural networks for Advanced modeling☆515Updated last week
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆312Updated 11 months ago
- Learning in infinite dimension with neural operators.☆2,734Updated last week
- Hidden Fluid Mechanics☆327Updated 2 years ago
- Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆325Updated 10 months ago
- Using graph network to solve PDEs☆398Updated 3 weeks ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆259Updated last year
- Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML method…☆1,630Updated this week
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆425Updated last month
- DeepONet & FNO (with practical extensions)☆306Updated last year
- ☆353Updated 2 years ago
- ☆313Updated 2 months ago
- Deep learning for Engineers - Physics Informed Deep Learning☆339Updated last year
- Physics-informed neural networks package☆311Updated 2 years ago
- Computational Fluid Dynamics in JAX☆849Updated 2 months ago
- Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond☆1,805Updated 3 weeks ago
- Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated s…☆1,086Updated 2 weeks ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆230Updated 8 months ago
- A place to share problems solved with SciANN☆281Updated last year