tomdbar / all-optical-neural-networksLinks
Supporting code for "End-to-end optical backpropagation for training neural networks".
☆51Updated 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
Sorting:
- A simulation framework for unitary neural networks and photonic devices☆111Updated 4 years ago
- Optical Neural Networks on PyTorch. diffractive propagation, nonlinear-photonic-activation☆136Updated 3 years ago
- SmartGlass (SG) is a python implementation of a diffractive optical neural network. Currently, it supports training an all-optical classi…☆45Updated 2 years ago
- A tool for mapping and simulating convolutions using ultrafast photonics☆14Updated 6 years ago
- Pytorch Unofficial implement of paper "All optical machine learning using diffractive deep neural networks" .☆112Updated 4 years ago
- ☆14Updated 6 years ago
- Simulation and optimization of dielectric metalens with Tidy3D☆27Updated 4 years ago
- Implementation of image sensing using a 2-layer optical neural network with optical-to-optical nonlinear activations☆35Updated 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…☆46Updated last year
- Arrayed Waveguide Grating (AWG) model and simulation in Matlab☆21Updated 4 years ago
- D2NN TRANNING SCRIPT☆65Updated 6 years ago
- Notebook examples for the neurophox repository☆19Updated 5 years ago
- ☆19Updated 11 months ago
- GAN-enabled metasuraface design☆63Updated 4 years ago
- ☆16Updated 8 months ago
- RCWA with inherent automatic differentiation using TensorFlow☆49Updated 4 years ago
- Diffraction Deep Neural Networks(D2NN)☆182Updated 2 years ago
- Neural Networks for Optical Inverse Design☆21Updated 7 years ago
- ☆15Updated 6 years ago
- Deep Learning for metasurface parameter optimization using tensorflow/keras☆106Updated last year
- Here, we use a conditional deep convolutional generative adversarial network (cDCGAN) to inverse design across multiple classes of metasu…☆172Updated 3 years ago
- Pytorch version of D2NN☆89Updated 2 years ago
- Diffractive optical neural network training with arbitrary spatial coherence.☆26Updated last year
- Continuous Adjoint Optimization with Lumerical, developed at UC Berkeley☆86Updated 6 years ago
- ☆15Updated 2 years ago
- hybrid optical electronic convolutional neural networks☆145Updated 5 years ago
- Generates metasurface GDSII layouts for a given phase mask and FDTD dimension vs phase data☆66Updated 4 years ago
- ☆11Updated 5 years ago
- Metasurface design workflow realized with Python (notebook) based on Lumerical FDTD.☆29Updated last week
- Optimization and inverse design of photonic crystals using deep reinforcement learning☆81Updated 2 years ago