tomdbar / all-optical-neural-networks
Supporting code for "End-to-end optical backpropagation for training neural networks".
☆39Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for all-optical-neural-networks
- ☆13Updated 5 years ago
- SmartGlass (SG) is a python implementation of a diffractive optical neural network. Currently, it supports training an all-optical classi…☆32Updated last year
- Optical Neural Networks on PyTorch. diffractive propagation, nonlinear-photonic-activation☆121Updated 2 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
- A simulation framework for unitary neural networks and photonic devices☆102Updated 3 years ago
- Pytorch Unofficial implement of paper "All optical machine learning using diffractive deep neural networks" .☆94Updated 3 years ago
- Implementation of image sensing using a 2-layer optical neural network with optical-to-optical nonlinear activations☆30Updated last year
- Simulation and optimization of dielectric metalens with Tidy3D☆25Updated 3 years ago
- A tool for mapping and simulating convolutions using ultrafast photonics☆13Updated 5 years ago
- Arrayed Waveguide Grating (AWG) model and simulation in Matlab☆17Updated 3 years ago
- ☆15Updated last year
- Training neural networks for inverse design of nanophotonic gratings.☆14Updated 2 years ago
- Optical diffraction neural network on PyTorch☆29Updated last year
- Continuous Adjoint Optimization with Lumerical, developed at UC Berkeley☆77Updated 6 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
- A multi-scale differential optimization framework for diffractive optical systems.☆38Updated 7 months ago
- ☆20Updated 5 years ago
- code for Large area optimization of meta-lens via data-free machine learning☆19Updated last year
- ☆16Updated 2 months ago
- A hybrid data- and physics-augmented CNN that predicts EM field distributions with ultrafast speed and high accuracy for entire classes o…☆19Updated 2 years ago
- RCWA with inherent automatic differentiation using TensorFlow☆42Updated 3 years ago
- ☆27Updated 3 years ago
- Pytorch version of D2NN☆53Updated last year
- Multipole Expansion for NanoPhotoncis☆13Updated 3 years ago
- Deep Learning for metasurface parameter optimization using tensorflow/keras☆79Updated 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
- Repository for "Multilevel Diffractive Optics Design".☆30Updated 6 months ago