tomdbar / all-optical-neural-networks
Supporting code for "End-to-end optical backpropagation for training neural networks".
☆41Updated 4 years ago
Alternatives and similar repositories for all-optical-neural-networks:
Users that are interested in all-optical-neural-networks are comparing it to the libraries listed below
- Optical Neural Networks on PyTorch. diffractive propagation, nonlinear-photonic-activation☆124Updated 2 years ago
- SmartGlass (SG) is a python implementation of a diffractive optical neural network. Currently, it supports training an all-optical classi…☆33Updated last year
- ☆13Updated 6 years ago
- A simulation framework for unitary neural networks and photonic devices☆102Updated 3 years ago
- ☆16Updated 3 weeks ago
- Pytorch Unofficial implement of paper "All optical machine learning using diffractive deep neural networks" .☆98Updated 3 years ago
- Implementation of image sensing using a 2-layer optical neural network with optical-to-optical nonlinear activations☆31Updated 2 years ago
- Simulation and optimization of dielectric metalens with Tidy3D☆26Updated 3 years ago
- ☆10Updated 4 years ago
- Diffractive optical neural network training with arbitrary spatial coherence.☆13Updated 10 months ago
- D2NN TRANNING SCRIPT☆60Updated 5 years ago
- A tool for mapping and simulating convolutions using ultrafast photonics☆13Updated 5 years ago
- ☆13Updated 9 months ago
- Optical diffraction neural network on PyTorch☆30Updated 2 years ago
- Pytorch version of D2NN☆58Updated last year
- Training neural networks for inverse design of nanophotonic gratings.☆14Updated 3 years ago
- Neural Networks for Optical Inverse Design☆19Updated 7 years ago
- ☆19Updated 5 years ago
- Diffraction Deep Neural Networks(D2NN)☆140Updated 2 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
- Arrayed Waveguide Grating (AWG) model and simulation in Matlab☆19Updated 3 years ago
- 看過All-optical machine learning using diffractive deep neural networks論文,實現代碼☆27Updated 6 years ago
- A hybrid data- and physics-augmented CNN that predicts EM field distributions with ultrafast speed and high accuracy for entire classes o…☆18Updated 2 years ago
- ☆13Updated 5 years ago
- ☆12Updated last year
- A Python (v3.6.5) package that provides a set of basic functions commonly used in integrated photonics.☆28Updated this week
- Scripts for training neural networks resistant to photon shot noise with quantization-aware training, together with the code for simulati…☆18Updated 2 years ago
- Notebook examples for the neurophox repository☆19Updated 5 years ago
- Deep Learning for metasurface parameter optimization using tensorflow/keras☆87Updated last year