D2NN TRANNING SCRIPT
☆66Feb 27, 2019Updated 7 years ago
Alternatives and similar repositories for Lyn
Users that are interested in Lyn are comparing it to the libraries listed below
Sorting:
- Diffractive Deep Neural Network. Image classification of Fashion-MNIST dataset using Python 3.6 and Tensorflow.☆41Dec 21, 2018Updated 7 years ago
- Pytorch Unofficial implement of paper "All optical machine learning using diffractive deep neural networks" .☆123Jun 26, 2021Updated 4 years ago
- ☆11Oct 31, 2020Updated 5 years ago
- SmartGlass (SG) is a python implementation of a diffractive optical neural network. Currently, it supports training an all-optical classi…☆48May 8, 2023Updated 2 years ago
- Pytorch version of D2NN☆108Jun 13, 2023Updated 2 years ago
- 看過All-optical machine learning using diffractive deep neural networks論文，實現代碼☆27Dec 15, 2018Updated 7 years ago
- (Non-official) Python simulation of the paper "All-optical machine learning using diffractive deep neural networks"☆16May 22, 2024Updated last year
- ☆19May 23, 2023Updated 2 years ago
- neural network trained to retrieve the amplitude and phase of objects by measurement of their diffraction pattern☆19Mar 19, 2021Updated 4 years ago
- This code is for paper "Multiple-image encryption and hiding with an optical diffractive neural network"☆31Dec 29, 2019Updated 6 years ago
- Code for "Deep neural networks for classifying complex features in diffraction images", Zimmermann et al. (2019) (Phys. Rev. E 99, 063309…☆13Jun 23, 2019Updated 6 years ago
- hybrid optical electronic convolutional neural networks☆150Nov 11, 2019Updated 6 years ago
- Meta_SCMT is a software to inverse design large-area dielectric metasurface. The key factor that differentiates the Meta_SCMT from curren…☆51Nov 24, 2023Updated 2 years ago
- ☆26Apr 15, 2024Updated last year
- ☆40Feb 25, 2021Updated 5 years ago
- ☆15May 3, 2021Updated 4 years ago
- ☆13Nov 9, 2015Updated 10 years ago
- Training neural networks for inverse design of nanophotonic gratings.☆20Dec 15, 2021Updated 4 years ago
- Code to reproduce results of the paper "Machine learning-based classification of vector vortex beams"☆26Dec 8, 2022Updated 3 years ago
- Supporting code for "End-to-end optical backpropagation for training neural networks".☆54Sep 30, 2020Updated 5 years ago
- Matlab implementations of Laguerre-Gaussian Vortex Beams☆23Aug 30, 2018Updated 7 years ago
- ☆20Aug 13, 2024Updated last year
- A simulation framework for unitary neural networks and photonic devices☆121Apr 21, 2021Updated 4 years ago
- Simple module to find numerically propagation mode profiles and propagation constants of multimode fibers of arbitrary radial index pro…☆46Oct 17, 2025Updated 4 months ago
- simple matlab function of angular spectrum method of fast calculation of diffraction with band limitation setting, zero padding setting a…☆22Nov 14, 2021Updated 4 years ago
- Collection of hologram optmization algorithms, inclusing alternating projection, quasi-Newton method, stochastic gradient descent☆53Jul 9, 2024Updated last year
- This is a MATLAB code to plot the intensity profile and the polarization map of a vector beam generated by adding two polarized high-orde…☆13Feb 14, 2022Updated 4 years ago
- RCWA simulation of metasurface library☆10Jun 20, 2023Updated 2 years ago
- ☆21Mar 3, 2019Updated 6 years ago
- ☆44Feb 4, 2019Updated 7 years ago
- Repository for "360° Structured Light with Learned Metasurfaces"☆29Jun 11, 2024Updated last year
- Appendix D of Hanwei's B. S. Thesis☆28Jun 5, 2019Updated 6 years ago
- Here, we combine deep learning (cDCGAN) with adjoint optimization (LumOpt) within a single user-friendly application (DeepAdjoint)). Refe…☆15Mar 18, 2023Updated 2 years ago
- ☆12Sep 5, 2022Updated 3 years ago
- All the codes and data used in "Inverse design of soft materials via a deep-learning-based evolutionary strategy", by G. M. Coli, E. Boat…☆11Oct 26, 2021Updated 4 years ago
- Optimization and inverse design of photonic crystals using deep reinforcement learning☆89Apr 11, 2023Updated 2 years ago
- ☆16Apr 12, 2019Updated 6 years ago
- ☆12Oct 19, 2023Updated 2 years ago
- X-ray diffraction denoising using deep convolutional neural networks☆14Mar 14, 2024Updated last year