feng-spinning / onn-simulation
A program using pytorch to simulate diffracive deep nerual network (D2NN), containing updates (relative to the original paper) of incoherent propagation, parallel computation, nonlinear activation, changing of propagating distance.
☆35Updated 5 months ago
Alternatives and similar repositories for onn-simulation:
Users that are interested in onn-simulation are comparing it to the libraries listed below
- Pytorch version of D2NN☆71Updated last year
- Diffraction Deep Neural Networks(D2NN)☆155Updated 2 years ago
- D2NN TRANNING SCRIPT☆64Updated 6 years ago
- Pytorch Unofficial implement of paper "All optical machine learning using diffractive deep neural networks" .☆107Updated 3 years ago
- Optical diffraction neural network on PyTorch☆30Updated 2 years ago
- SmartGlass (SG) is a python implementation of a diffractive optical neural network. Currently, it supports training an all-optical classi…☆37Updated last year
- Implementation of image sensing using a 2-layer optical neural network with optical-to-optical nonlinear activations☆32Updated 2 years ago
- 看過All-optical machine learning using diffractive deep neural networks論文，實現代碼☆27Updated 6 years ago
- Optical Neural Networks on PyTorch. diffractive propagation, nonlinear-photonic-activation☆131Updated 3 years ago
- Diffractive Deep Neural Network. Image classification of Fashion-MNIST dataset using Python 3.6 and Tensorflow.☆40Updated 6 years ago
- Implementation of Manuscript "Training large-scale optoelectronic neural networks with dual-neuron optical-artificial learning"☆12Updated last year
- ☆10Updated 4 years ago
- (Non-official) Python simulation of the paper "All-optical machine learning using diffractive deep neural networks"☆12Updated 10 months ago
- Diffractive optical neural network training with arbitrary spatial coherence.☆18Updated last year
- ☆13Updated last year
- neural network trained to retrieve the amplitude and phase of objects by measurement of their diffraction pattern☆19Updated 4 years ago
- Source code for 'Depolarized Holography with Polarization-multiplexing Metasurface' (SIGGRAPH ASIA 2023)☆13Updated last year
- ☆11Updated 6 years ago
- A multi-scale differential optimization framework for diffractive optical systems.☆41Updated 11 months ago
- DFlat is a forward and inverse design framework for flat optics. Although specially geared for the design of metasurface optics, it may b…☆70Updated last week
- ☆11Updated 4 years ago
- Meta_SCMT is a software to inverse design large-area dielectric metasurface. The key factor that differentiates the Meta_SCMT from curren…☆43Updated last year
- (Tensorflow Version) D-Flat is a forward and inverse design framework for flat optics. Although specially geared for the design of metasu…☆79Updated last year
- Design code and examples for polarization-analyzing metasurface gratings as in Rubin et al., "Matrix Fourier optics enables a compact ful…☆16Updated 6 months ago
- ☆16Updated 3 months ago
- diffraction model-driven network for 4K computer-generated holography☆22Updated last year
- Inverse design of metasurface using Generative Adversarial Neural Network☆10Updated 2 years ago
- Supporting code for "End-to-end optical backpropagation for training neural networks".☆44Updated 4 years ago
- FDTD Solutions Script Library for Metasurface Holographic (FSMH)☆29Updated 4 years ago
- Automated Metasurface Design by Machine Learning☆14Updated 4 years ago