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 defin…
☆32Updated last year
Related projects ⓘ
Alternatives and complementary repositories for SmartGlass
- Optical diffraction neural network on PyTorch☆29Updated last year
- Automated Metasurface Design by Machine Learning☆14Updated 3 years ago
- ☆10Updated 4 years ago
- Diffractive optical neural network training with arbitrary spatial coherence.☆12Updated 8 months ago
- D2NN TRANNING SCRIPT☆60Updated 5 years ago
- Generating metasurface layout and simulating metalens as the superposition of the point source☆22Updated 11 months ago
- ☆13Updated 5 years ago
- Meta_SCMT is a software to inverse design large-area dielectric metasurface. The key factor that differentiates the Meta_SCMT from curren…☆41Updated 11 months ago
- Inverse design of metasurface using Generative Adversarial Neural Network☆11Updated 2 years ago
- Simulation and optimization of dielectric metalens with Tidy3D☆25Updated 3 years ago
- Pytorch Unofficial implement of paper "All optical machine learning using diffractive deep neural networks" .☆94Updated 3 years ago
- Inverse design of metasurface with non-local interations☆31Updated last year
- ☆12Updated 3 years ago
- FDTD Solutions Script Library for Metasurface Holographic (FSMH)☆27Updated 3 years ago
- code for Large area optimization of meta-lens via data-free machine learning☆19Updated last year
- 看過All-optical machine learning using diffractive deep neural networks論文，實現代碼☆25Updated 5 years ago
- Pytorch version of D2NN☆53Updated last year
- A multi-scale differential optimization framework for diffractive optical systems.☆38Updated 7 months ago
- Optical Neural Networks on PyTorch. diffractive propagation, nonlinear-photonic-activation☆121Updated 2 years ago
- Implementation of image sensing using a 2-layer optical neural network with optical-to-optical nonlinear activations☆30Updated last year
- Repository for "Multilevel Diffractive Optics Design".☆30Updated 6 months ago
- ☆27Updated 3 years ago
- Diffractive Deep Neural Network. Image classification of Fashion-MNIST dataset using Python 3.6 and Tensorflow.☆36Updated 5 years ago
- Training neural networks for inverse design of nanophotonic gratings.☆14Updated 2 years ago
- 2021 SJTU IPP Project, Metasurface, advised by Prof. Xuyang Lu☆11Updated 2 years ago
- Implementation of Manuscript "Training large-scale optoelectronic neural networks with dual-neuron optical-artificial learning"☆11Updated last year
- (Tensorflow Version) D-Flat is a forward and inverse design framework for flat optics. Although specially geared for the design of metasu…☆76Updated 9 months ago
- Deep Learning for metasurface parameter optimization using tensorflow/keras☆79Updated last year
- ☆10Updated 2 years ago