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…
☆48May 8, 2023Updated 2 years ago
Alternatives and similar repositories for SmartGlass
Users that are interested in SmartGlass are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Diffraction Deep Neural Networks(D2NN)☆223Oct 29, 2022Updated 3 years ago
- D2NN TRANNING SCRIPT☆66Feb 27, 2019Updated 7 years ago
- Meta_SCMT is a software to inverse design large-area dielectric metasurface. The key factor that differentiates the Meta_SCMT from curren…☆52Nov 24, 2023Updated 2 years ago
- ☆16Apr 12, 2019Updated 6 years ago
- 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" .☆124Jun 26, 2021Updated 4 years ago
- Diffractive optical neural network training with arbitrary spatial coherence.☆32Mar 12, 2024Updated 2 years ago
- ☆11Apr 17, 2020Updated 5 years ago
- (Non-official) Python simulation of the paper "All-optical machine learning using diffractive deep neural networks"☆16May 22, 2024Updated last year
- Pytorch version of D2NN☆109Jun 13, 2023Updated 2 years ago
- Supporting code for "End-to-end optical backpropagation for training neural networks".☆56Sep 30, 2020Updated 5 years ago
- Cyclical Deep Learning Implementation for Simultaneous Inverse and Forward Design of Nanophotonic Metasurfaces☆17Mar 25, 2024Updated last year
- Automated Metasurface Design by Machine Learning☆19Nov 23, 2020Updated 5 years ago
- Optical Neural Networks on PyTorch. diffractive propagation, nonlinear-photonic-activation☆145Feb 27, 2022Updated 4 years ago
- Design, optimize, & simulate metasurface lenses (aka diffractive lenses), beam deflectors, gratings etc☆170Jan 18, 2024Updated 2 years ago
- Generating metasurface layout and simulating metalens as the superposition of the point source☆27Dec 20, 2023Updated 2 years ago
- code for Large area optimization of meta-lens via data-free machine learning☆24Oct 27, 2023Updated 2 years ago
- Here, we use a conditional deep convolutional generative adversarial network (cDCGAN) to inverse design across multiple classes of metasu…☆211Jun 3, 2022Updated 3 years ago
- Simulation and optimization of dielectric metalens with Tidy3D☆27Jul 30, 2021Updated 4 years ago
- RCWA simulation of metasurface library☆10Jun 20, 2023Updated 2 years ago
- Deep Learning for metasurface parameter optimization using tensorflow/keras☆120Dec 26, 2025Updated 2 months ago
- Relevent code snippets for the digital optical neural network project in Dirk Englund's group☆21Mar 3, 2020Updated 6 years ago
- Code for inverse design of metasurface☆20Feb 23, 2024Updated 2 years ago
- MATLAB Implementation of the Rigorous Coupled Wave Analysis and Plane Wave Expansion Method☆34Jan 7, 2017Updated 9 years ago
- ☆41Feb 25, 2021Updated 5 years ago
- Metasurface design workflow realized with Python (notebook) based on Lumerical FDTD.☆100Feb 25, 2026Updated 3 weeks ago
- Training neural networks for inverse design of nanophotonic gratings.☆20Dec 15, 2021Updated 4 years ago
- This is the implementation of the "parameter constrained spectral encoder and decoder (PCSED)" introduced in the paper "Deep-Learned Broa…☆27Jul 17, 2021Updated 4 years ago
- Scripts for training neural networks resistant to photon shot noise with quantization-aware training, together with the code for simulati…☆19Jan 31, 2022Updated 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
- ☆16May 3, 2021Updated 4 years ago
- (Tensorflow Version) D-Flat is a forward and inverse design framework for flat optics. Although specially geared for the design of metasu…☆84Feb 7, 2024Updated 2 years ago
- Flexible simulation package for optical neural networks☆267Apr 22, 2020Updated 5 years ago
- A Generic Framework for Optical Inverse Design☆50Apr 18, 2025Updated 11 months ago
- An electromagnetic simulation tool programmed in Matlab by using the method Rigorous Coupled-Wave analysis (RCWA)☆26Nov 21, 2015Updated 10 years ago
- RCWA for optical metrology and metasurfaces☆14May 29, 2023Updated 2 years ago
- Generates metasurface GDSII layouts for a given phase mask and FDTD dimension vs phase data☆71May 24, 2021Updated 4 years ago
- ☆26Apr 15, 2024Updated last year
- Repository for "Multilevel Diffractive Optics Design".☆32Nov 20, 2024Updated last year