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mode-recognition-machine-learning

Code and notes to develop machine recognition of modes that represent the final step of a quantum random walk in the space of orbital angular momentum of LASER light.

multidimensional_information_assisted_deep_learning_realizing_flexible_recognition_of_vortex_beam_mo

This project made use of both intensity and phase information to recognize orbital angular momentum mode.

neuroptica

Flexible simulation package for optical neural networks

oam-phin-viewer

View the Phase and intensity of an OAM mode, given L, P, f, Time

onnet

Optical Neural Networks on PyTorch. diffractive propagation, nonlinear-photonic-activation

optical-neural-network

Pytorch Unofficial implement of paper "All optical machine learning using diffractive deep neural networks" .

opticalcnn

hybrid optical electronic convolutional neural networks

orbital-angular-momentum

orbital-angular-momentum-

pacbed

A repository for the training of neural networks in position averaged convergent beam electron diffraction.

planetary-orbits

This code gives the planetary orbits with different fixed values of angular momentum. The Hamiltonian and Lagrangian are not solved using this code. This gives a perspective of different types of potential and their orbits.f

pyoam

python orbital angular momentum codes

self-holo

Diffraction model-informed neural network for unsupervised layer-based computer-generated holography

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 defined.

tmm_neural_network

wandb-pytorch-gan-mnist-demo

Generating MNIST handwritten digit images by GANs built on PyTorch and visualize/track it with Weights & Biases.

xrd_denoising

X-ray diffraction denoising using deep convolutional neural networks