gevero

py_matrix

A python implementation of the transfer matrix method for multilayer structures with arbitrary dielectric tensors

py_gmm

A Generalized Multiparticle Mie code, especially suited for plasmonics

enet_tensorflow

Enet implementation in tensorflow

chipy

A python transfer matrix code for chiral multilayers

elections

Statistical anomalies in Russian elections

RamanDeepLearningTutorial

A brief tutorial on Deep Learning for Raman Spectroscopy

1D_Schroedinger

The script calculates the electronic bands for an arbitrary one-dimensional and periodic potential. Moreover, we can calculate the electronic wavefunction for each band and wave vector in the Brillouin zone.

barlowtwins

PyTorch implementation of Barlow Twins.

Deep_Inverse_Correlography

Code associated with the paper "Deep-Inverse Correlography: Towards Real-Time High-Resolution Non-Line-of-Sight Imaging"

deep-phase-imaging

eigeNN

EMUstack

EMUstack is an open-source simulation package for calculating light propagation through multi-layered stacks of dispersive, lossy, nanostructured, optical media. It implements a generalised scattering matrix method, which extends the physical intuition of thin film optics to complex structures.

fenics-tutorial

Source files and published documents for the FEniCS tutorial.

fmmax

Fourier modal method with Jax

gevero.github.io

jaxwell

Jaxwell is JAX + Maxwell

Khronos.jl

A GPU-accelerated, differentiable, Maxwell FDTD solver

LaTeX-OCR

pix2tex: Using a ViT to convert images of equations into LaTeX code.

Machine-Learning

Machine learning library written in readable python code

pykan

Kolmogorov Arnold Networks

PythonicCrystal

A dummy code for 1d photonic crystals

pytorch-segmentation

:art: Semantic segmentation models, datasets and losses implemented in PyTorch.

quantumNN

Raman

Scripts and data for "Transfer Learning Based Raman Spectra Identification"

reveal.js-plugins

Plugins for reveal.js

scuff-em

A comprehensive and full-featured computational physics suite for boundary-element analysis of electromagnetic scattering, fluctuation-induced phenomena (Casimir forces and radiative heat transfer), nanophotonics, RF device engineering, electrostatics, and more. Includes a core library with C++ and python APIs as well as many command-line applications.

SqueezeNet-Neural-Style-Pytorch

Lightweight implementation of neural style in Pytorch with SqueezeNet

ssd_keras

A Keras port of Single Shot MultiBox Detector

tmm

transfer-matrix method for optics of thin and thick multilayer films

transfer_net

Towards a small network ideal for neural style tranfer