thunil / Physics-Based-Deep-LearningLinks
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
☆1,864Updated 3 months ago
Alternatives and similar repositories for Physics-Based-Deep-Learning
Users that are interested in Physics-Based-Deep-Learning are comparing it to the libraries listed below
Sorting:
- Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition☆1,247Updated 5 months ago
- A differentiable PDE solving framework for machine learning☆1,799Updated last week
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆772Updated 6 months ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,056Updated 8 months ago
- Learning in infinite dimension with neural operators.☆3,346Updated 2 weeks ago
- ☆1,073Updated 3 weeks ago
- A library for scientific machine learning and physics-informed learning☆3,822Updated last month
- Learning nonlinear operators via DeepONet☆753Updated 3 years ago
- A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…☆1,515Updated last year
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,552Updated last year
- 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
- Investigating PINNs☆722Updated 4 years ago
- Computational Fluid Dynamics in JAX☆913Updated 2 weeks ago
- Must-read Papers on Physics-Informed Neural Networks.☆1,410Updated 2 years ago
- PyTorch Implementation of Physics-informed Neural Networks☆700Updated last year
- ☆506Updated 10 months ago
- Using graph network to solve PDEs☆430Updated 7 months ago
- OSS library that implements deep learning methods for partial differential equations and much more☆458Updated 3 months ago
- A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning☆332Updated 3 years ago
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆639Updated last week
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆243Updated last year
- Hidden Fluid Mechanics☆351Updated 3 years ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆516Updated 2 months ago
- Physics-Informed Neural networks for Advanced modeling☆692Updated last week
- Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"☆773Updated 2 years ago
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆5,516Updated last year
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆799Updated 7 months ago
- Lagrangian Neural Networks☆537Updated 4 months ago
- Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated s…☆1,162Updated last week
- ☆400Updated 2 months ago