HIT-guoxiangting

HIT-guoxiangting's Stars

• kc-ml2/meent

  Electromagnetic simulation (RCWA) & optimization package in Python

  Language:Python7811

• kch3782/torcwa

  GPU-accelerated RCWA with automatic differentiation

  Language:Jupyter Notebook12124

• scolburn54/rcwa_tf

  RCWA with inherent automatic differentiation using TensorFlow

  Language:Python489

• 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:Python15735

• complexphoton/metalens_inverse_design

  Language:Julia194

• Jocooob/MCMS-PnP-CUP

  Code for weighted multi-scale denoising via adaptive multi-channel fusion for compressed ultrafast photography.

  Language:Python2

• integritynoble/ALDL-algorithm

  This is codes about ALDL-algorithm, which is developed to realize high-fidelity image reconstruction for CUP. In this algorithm, there are four key points: (1) Optimizing the sparse domain in the multiple transformation; (2) Optimizing the relevant calculation parameters in the iteration process; (3) Employing GD algorithm to improve the computing efficiency; (4) Embedding the U-net architecture to help denoise.

  Language:Python7

• stanfordnqp/spins-b

  Photonic optimization library

  Language:Python301115

• tshwang0928/Lumopt

  Language:Python2

• fancompute/angler

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

  Language:Python16150

• sophiezxf/double_binary_search

  This code script implements the double binary search algorithm in Matlab to drive the optic simulation tool Lumerical to find the optimized result for the mode converter device. There are three optimize parameters (transmission, return loss and coupling) that we take into consideration. We also add the feature that this optimized result have 10% tolerance to the fabrication inaccuracy.

  2

• HelgeGehring/femwell

  FEM mode solver for photonic waveguides

  Language:Python12634

• flexcompute/tidy3d

  Fast electromagnetic solver (FDTD) at scale.

  Language:Python25352

• flexcompute/metalens

  Simulation and optimization of dielectric metalens with Tidy3D

  Language:Jupyter Notebook282

• simutechphotonics/SST-waveguides

  PIC waveguide design script using lumerical

  Language:Python2

• google/ceviche-challenges

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

  Language:Python10512

• chriskeraly/lumopt

  Python based continuous adjoint optimization wrapper for Lumerical

  Language:Python17178

• Arcadianlee/Photonics-FDTD-DRL

  Optimization and inverse design of photonic crystals using deep reinforcement learning

  Language:Python7717

• Y1ga/Inverse-Design

  fdtd with python code

  Language:Python1

• bionanoimaging/Scalable-Angular-Spectrum-Method-SAS

  Implementations of the Scalable Angular Spectrum Method

  Language:Jupyter Notebook526

• hao-focus/ModelForOAMLight

  Language:Python101

• airPeter/SmartGlass

  SmartGlass (SG) is a python implementation of a diffractive optical neural network. Currently, it supports training an all-optical classifier (e.g. classify hand-written digits MNIST dataset). Besides, the framework can also be used to design optics based on a task like focusing and beam steering. However, custom object functions should be defined. Besides training the optics, the SG also supports training the detectors using gradient-free optimization.

  Language:Python385

• julian-carpenter/airynet

  Code for "Deep neural networks for classifying complex features in diffraction images", Zimmermann et al. (2019) (Phys. Rev. E 99, 063309)

  Language:Python123

• zibangzhang/Fourier-single-pixel-imaging

  High-quality and efficient single-pixel imaging scheme

  Language:MATLAB5911

• zibangzhang/Color-Fourier-Single-pixel-Imaging

  Color Fourier single-pixel imaging

  Language:MATLAB11

• SituLab/AuSamNet

  Language:Python51

• zibangzhang/Real-time-Fourier-single-pixel-imaging

  Fast Fourier single-pixel imaging using dithered (binary) sinusoidal intensity patterns for illumination

  Language:Matlab283

• zlin-opt/end2end_multich_tikhonov

  Language:Python7

• closest-git/ONNet

  Optical Neural Networks on PyTorch. diffractive propagation, nonlinear-photonic-activation

  Language:Python13131

• Loli-Eternally/D2NN-with-Pytorch

  Pytorch version of D2NN

  Language:Jupyter Notebook7210