xiayizhan1120

xiayizhan1120's Stars

• benmoseley/DLSC-2023

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

  Language:Jupyter Notebook10021

• DCN-FAU-AvH/PINNs_wave_equation

  An implementation of Physics-Informed Neural Networks (PINNs) to solve various forward and inverse problems for the 1 dimensional wave equation.

  Language:Python219

• LakeYang0818/Solving-Maxwells-Equation-by-PINN-Method

  Language:Jupyter Notebook3

• drcassbul/Maxwell_PINN

  Numerical resolution of Maxwell equations in 2D with PINN

  Language:Jupyter Notebook3

• goyal-anant/2D_volume_solver

  Implementation of Richmond's paper on Scattering through a dielectric cylinder of arbitrary cross section shape. Also, convergence and comparison of results are done with reference to surface integral solution, analytical solution, and published results.

  Language:MATLAB1

• hamdidemir/Scattering-and-Linear-Sampling

  Matlab implementation of electromagnetic wave scattering by dielectric cylinder and imaging resulting data with linear sampling method

  Language:MATLAB3

• mrroboto1420/PHY810-Scattering

  PHY810 Python Code for Dielectric Cylinder

  Language:Python11

• RedBlight/EFVIE-MoM

  Electric field volume integral equation solver, incorporating method of moments and SWG basis functions.

  Language:MATLAB206

• samuelpgroth/hex-fft-vie

  Volume integral equation solver based on a hexagonal discretization grid

  Language:Jupyter Notebook1

• the-iterator/VIE

  VIE solver: computes the electromagnetic field (E-vector) inside arbitrary three-dimensional inhomogeneous dielectric objects using the volume integral equation method. Includes: simple tools for constructing objects from elementary shapes, point-dipole and plane-wave sources. Python 2.7 and Python 3 versions.

  Language:Python24

• grand-mother/ML_efield_recons

  This work will investigate the use of ML to perform denoising of traces and/or E-field reconstruction

  Language:Jupyter Notebook31

• lartpang/Machine-Deep-Learning

  :wave: ML/DL学习笔记（基础+论文）

  25851

• microsoft/ai-edu

  AI education materials for Chinese students, teachers and IT professionals.

  Language:HTML13.5k2.9k

• hqyyqh888/DeepUnfolding_WMMSE

  Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems

  Language:Python6214

• tum-pbs/PhiFlow

  A differentiable PDE solving framework for machine learning

  Language:Python1.4k193

• ML4HPC/JAX-CFD

  machine learning-accelerated computational fluid dynamics

  Language:Python175

• google/jax-cfd

  Computational Fluid Dynamics in JAX

  Language:Jupyter Notebook720100

• wonderit/maxwellfdfd-ai

  Simulation acceleration for the transmittance of electromagnetic waves in 2D slit arrays using deep learning

  Language:Python76

• maziarraissi/PINNs

  Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

  Language:Python3.7k1.2k

• google/data-driven-discretization-1d

  Code for "Learning data-driven discretizations for partial differential equations"

  Language:Jupyter Notebook15961

• google-research/data-driven-advection

  Language:Jupyter Notebook18456

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python82.2k22.1k

• pytorch/vision

  Datasets, Transforms and Models specific to Computer Vision

  Language:Python16k6.9k

• secdr/research-method

  论文写作与资料分享

  2.3k544

• virgili0/Virgilio

  Your new Mentor for Data Science E-Learning.

  Language:Jupyter Notebook13.9k2.5k

• xiayizhan1120/MachineLearning_Python

  机器学习算法python实现

  Language:Python1

• L1aoXingyu/code-of-learn-deep-learning-with-pytorch

  This is code of book "Learn Deep Learning with PyTorch"

  Language:Jupyter Notebook2.8k1.2k

• makeyourownneuralnetwork/makeyourownneuralnetwork

  Code for the Make Your Own Neural Network book

  Language:Jupyter Notebook2.3k1.5k