lululxvi / deepxde
A library for scientific machine learning and physics-informed learning
☆3,079Updated this week
Alternatives and similar repositories for deepxde:
Users that are interested in deepxde are comparing it to the libraries listed below
- Must-read Papers on Physics-Informed Neural Networks.☆1,095Updated last year
- Learning nonlinear operators via DeepONet☆615Updated 2 years ago
- Learning in infinite dimension with neural operators.☆2,547Updated this week
- ☆897Updated this week
- Investigating PINNs☆578Updated 3 years ago
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆4,469Updated 10 months ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆858Updated 2 months ago
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆536Updated last month
- PyTorch Implementation of Physics-informed Neural Networks☆599Updated 10 months ago
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆456Updated 10 months ago
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆736Updated last month
- ☆423Updated last year
- A differentiable PDE solving framework for machine learning☆1,578Updated last week
- Physics-Informed Neural networks for Advanced modeling☆461Updated last week
- Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML method…☆1,350Updated last week
- Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated s…☆1,057Updated this week
- Using graph network to solve PDEs☆382Updated last year
- Computational Fluid Dynamics in JAX☆810Updated this week
- Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆302Updated 7 months ago
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆293Updated 8 months ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆373Updated this week
- Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond☆1,778Updated last week
- Hidden Fluid Mechanics☆321Updated 2 years ago
- ☆329Updated 2 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆257Updated last year
- Physics-informed neural networks package☆297Updated 2 years ago
- Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition☆1,070Updated this week
- DeepONet & FNO (with practical extensions)☆276Updated last year
- ☆248Updated 2 years ago
- A place to share problems solved with SciANN☆274Updated last year