Zhongyi-08

Zhongyi-08's Stars

• mnielsen/neural-networks-and-deep-learning

  Code samples for my book "Neural Networks and Deep Learning"

  Language:Python16.2k1.1k06.6k

• HIPS/autograd

  Efficiently computes derivatives of NumPy code.

  Language:Python7k212405918

• IntelLabs/nlp-architect

  A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks

  Language:Python2.9k164126448

• Jonezhen/CSBook

  1.1k330361

• williamhunter/topy

  Topology Optimization using Python

  Language:Python4883437129

• calculix/beso

  Python code for topology optimization using CalculiX FEM solver.

  Language:Python317283548

• fancompute/angler

  Frequency-domain photonic simulation and inverse design optimization for linear and nonlinear devices

  Language:Python157193250

• SwanLab/Swan

  Topology Optimization Laboratory

  Language:MATLAB1471013527

• Raman-Lab-UCLA/Multiclass_Metasurface_InverseDesign

  Here, we use a conditional deep convolutional generative adversarial network (cDCGAN) to inverse design across multiple classes of metasurfaces. Reference: https://onlinelibrary.wiley.com/doi/10.1002/adom.202100548

  Language:Python1404533

• ISosnovik/nn4topopt

  Code for "Neural Networks for Topology Optimization"

  Language:Jupyter Notebook1289530

• zhaonat/Rigorous-Coupled-Wave-Analysis

  modules for semi-analytic fourier series solutions for Maxwell's equations. Includes transfer-matrix-method, plane-wave-expansion-method, and rigorous coupled wave analysis (RCWA).

  Language:Jupyter Notebook12312550

• deng-cy/deep_learning_topology_opt

  Code for paper "Self-Directed Online Machine Learning for Topology Optimization"

  Language:MATLAB1077024

• edmundsj/rcwa

  Rigorous Coupled Wave Analysis for the calculation of Photonic Crystal R/T spectra

  Language:Python10365631

• jonfanlab/GLOnet

  Global optimization based on generative neural networks

  Language:Python1016540

• google/ceviche-challenges

  A suite of photonic inverse design challenge problems for topology optimization benchmarking

  Language:Python956413

• DeanHazineh/DFlat-tensorflow

  (Tensorflow Version) D-Flat is a forward and inverse design framework for flat optics. Although specially geared for the design of metasurface optics, it may be used for any end-to-end imaging and sensing task.

  Language:Python776212

• kc-ml2/meent

  Electromagnetic simulation (RCWA) & optimization package in Python

  Language:Python70348

• Arcadianlee/Photonics-FDTD-DRL

  Optimization and inverse design of photonic crystals using deep reinforcement learning

  Language:Python623216

• DeanHazineh/DFlat

  DFlat is a forward and inverse design framework for flat optics. Although specially geared for the design of metasurface optics, it may be used for any end-to-end imaging and sensing task.

  Language:Jupyter Notebook615113

• jonfanlab/Metagrating-Topology-Optimization

  Language:MATLAB536726

• renatopicelli/tobs

  Matlab code for the Topology Optimization of Binary Structures (TOBS) method.

  Language:MATLAB356115

• aatmdelissen/pyMOTO

  Modular framework for optimization with semi-automatic derivatives

  Language:Python234113

• BensonRen/AEM_DIM_Bench

  Repo for paper "Inverse deep learning methods and benchmarks for artificial electromagnetic material design"

  Language:Python15426

• vlatorre847/TOSSE

  An Efficient 51 lines Matlab code for topology optimization.

  Language:MATLAB152010

• DeanHazineh/Multi-Image-Synthesis

  The code repository for the 2023 ICCP Paper: Polarization Multi-Image Synthesis with Birefringent Metasurfaces

  Language:Python14113

• WeianHuang23/Dispersion-assisted_High-dimensional_Photodetector

  数据集的创建

  Language:MATLAB10102