MaxwellEq4

MaxwellEq4's Stars

• bizoffermark/neural_wos

  Neural Walk-on-Spheres

  Language:Python101

• tensorly/tensorly

  TensorLy: Tensor Learning in Python.

  Language:Python1.6k289

• DiffEqML/torchdyn

  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

  Language:Jupyter Notebook1.4k128

• python-adaptive/adaptive

  :chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions

  Language:Python1.2k60

• neuraloperator/graph-pde

  Using graph network to solve PDEs

  Language:Python33983

• camlab-ethz/AI_Science_Engineering

  This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.

  Language:Jupyter Notebook11021

• rmojgani/LPINNs

  To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to the direction of travel of information in convection-diffusion equations, i.e., method of characteristic; The repository includes a pytorch implementation of PINN and proposed LPINN with periodic boundary conditions

  Language:Python425

• benmoseley/DLSC-2023

  ETH Zürich Deep Learning in Scientific Computing Master's course 2023

  Language:Jupyter Notebook10322

• pdearena/pdearena

  Language:Python22827

• thunil/Physics-Based-Deep-Learning

  Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

  1.7k303

• tum-pbs/PhiML

  Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy

  Language:Python737

• mathLab/PINA

  Physics-Informed Neural networks for Advanced modeling

  Language:Python38665

• wustl-cig/DeCAF

  Language:Python465

• ehsanhaghighat/sciann-applications

  A place to share problems solved with SciANN

  Language:Jupyter Notebook248127

• FEniCS/dolfinx

  Next generation FEniCS problem solving environment

  Language:C++767182

• camlab-ethz/poseidon

  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"

  Language:Python9712

• youxch/Inverse-design-of-patch-antennas

  This repository hosts a simple demonstration of a deep learning approach for the inverse design of patch antennas. The goal is to explore energy-efficient designs and to significantly reduce simulation cost compared to conventional methods.

  Language:Python608

• PredictiveIntelligenceLab/jaxpi

  Language:Python21948

• amir-cardiolab/PINN-examples

  Examples implementing physics-informed neural networks (PINN) in Pytorch

  Language:Python5212

• Zymrael/awesome-neural-ode

  A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

  1.3k150

• 314arhaam/heat-pinn

  A Physics-Informed Neural Network to solve 2D steady-state heat equations.

  Language:Jupyter Notebook10614

• camlab-ethz/ConvolutionalNeuralOperator

  This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs

  Language:Python12712

• artisticat1/obsidian-latex-suite

  Make typesetting LaTeX as fast as handwriting through snippets, text expansion, and editor enhancements

  Language:TypeScript1.3k52

• dtu-act/deeponet-acoustic-wave-prop

  Code for training and inferring acoustic wave propagation in 3D

  Language:Python291

• ML-KULeuven/ETSY

  Synchronize soccer event and tracking data

  Language:Python31

• bitzhangcy/Neural-PDE-Solver

  765109

• neuraloperator/physics_informed

  Language:Python36384

• liu-ziyuan-math/SPFNO

  Language:Python101

• kaist-silab/graphsplinenets

  [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"

  Language:Jupyter Notebook141

• msurtsukov/neural-ode

  Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

  Language:Jupyter Notebook684120