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…
☆38Updated last year
Alternatives and similar repositories for SmartGlass:
Users that are interested in SmartGlass are comparing it to the libraries listed below
- Optical diffraction neural network on PyTorch☆30Updated 2 years ago
- Automated Metasurface Design by Machine Learning☆15Updated 4 years ago
- ☆10Updated 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…☆43Updated last year
- Pytorch Unofficial implement of paper "All optical machine learning using diffractive deep neural networks" .☆107Updated 3 years ago
- D2NN TRANNING SCRIPT☆64Updated 6 years ago
- Optical Neural Networks on PyTorch. diffractive propagation, nonlinear-photonic-activation☆132Updated 3 years ago
- 看過All-optical machine learning using diffractive deep neural networks論文,實現代碼☆27Updated 6 years ago
- Inverse design of metasurface with non-local interations☆37Updated last year
- ☆14Updated 6 years ago
- Generating metasurface layout and simulating metalens as the superposition of the point source☆25Updated last year
- Deep Learning for metasurface parameter optimization using tensorflow/keras☆98Updated last year
- FDTD Solutions Script Library for Metasurface Holographic (FSMH)☆30Updated 4 years ago
- code for Large area optimization of meta-lens via data-free machine learning☆20Updated last year
- Pytorch version of D2NN☆73Updated last year
- (Non-official) Python simulation of the paper "All-optical machine learning using diffractive deep neural networks"☆13Updated 11 months ago
- Code for inverse design of metasurface☆13Updated last year
- A program using pytorch to simulate diffracive deep nerual network (D2NN), containing updates (relative to the original paper) of incoher…☆41Updated 2 weeks ago
- Cyclical Deep Learning Implementation for Simultaneous Inverse and Forward Design of Nanophotonic Metasurfaces☆10Updated last year
- ☆14Updated 3 years ago
- GAN-enabled metasuraface design☆60Updated 4 years ago
- Diffractive optical neural network training with arbitrary spatial coherence.☆18Updated last year
- Metasurface design workflow realized with Python (notebook) based on Lumerical FDTD.☆14Updated this week
- Metamaterial lens shape discovery and optimization methods for the design of COPILOT optical instruments.☆10Updated 2 years ago
- 深度学习加超表面文献☆26Updated 3 years ago
- 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".☆45Updated 4 years ago
- Training neural networks for inverse design of nanophotonic gratings.☆14Updated 3 years ago
- Diffractive Deep Neural Network. Image classification of Fashion-MNIST dataset using Python 3.6 and Tensorflow.☆40Updated 6 years ago
- ☆19Updated 7 months ago