Giovanni Pellegrini (gevero)

gevero

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Company:UniversitĂ  di Pavia

Location:Milano

Twitter:@gevero

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Giovanni Pellegrini's repositories

py_matrix

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

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py_gmm

A Generalized Multiparticle Mie code, especially suited for plasmonics

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enet_tensorflow

Enet implementation in tensorflow

1DPyHC

A python code to calculate optical properties of 1D Photonic Crystals

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chipy

A python transfer matrix code for chiral multilayers

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elections

Statistical anomalies in Russian elections

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RamanDeepLearningTutorial

A brief tutorial on Deep Learning for Raman Spectroscopy

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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.

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barlowtwins

PyTorch implementation of Barlow Twins.

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Deep_Inverse_Correlography

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

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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.

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fenics-tutorial

Source files and published documents for the FEniCS tutorial.

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fmmax

Fourier modal method with Jax

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jaxwell

Jaxwell is JAX + Maxwell

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LaTeX-OCR

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

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Machine-Learning

Machine learning library written in readable python code

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pykan

Kolmogorov Arnold Networks

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PythonicCrystal

A dummy code for 1d photonic crystals

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pytorch-segmentation

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

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Raman

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

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reveal.js-plugins

Plugins for reveal.js

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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.

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SqueezeNet-Neural-Style-Pytorch

Lightweight implementation of neural style in Pytorch with SqueezeNet

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ssd_keras

A Keras port of Single Shot MultiBox Detector

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tmm

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

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transfer_net

Towards a small network ideal for neural style tranfer

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