QuentinBrissaud

Quentin Brissaud's repositories

ML_attenuation_infrasound

Deep learning predictive model of ground transmission loss from a set of wind profiles

Language:Jupyter Notebook4 1 1

AIDE allows you to scan vTEC records to detect co-seismic ionospheric perturbations. AIDE software consists of a Machine-Learning based detector, arrival-time picker, and an associator across GNSS satellite networks.

Language:PythonGPL-3.03 20

gardner_perturbations

Generate atmospheric gravity-wave perturbations using Gardner's model

Language:Jupyter NotebookGPL-3.01 10

FFNO

Code to run 3D simulations of the elastic wave equation and predict outputs with 3D neural operators

Language:Jupyter NotebookGPL-3.0000

guest_lecture

Course material for my guest lectures

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Kiruna

Seismo-acoustic analysis and inversion of the Kiruna minequake source mechanism

Language:Jupyter Notebook010

ML_balloon

Deep learning for anomaly detection in balloon pressure data

Language:Jupyter Notebook000

pujol_model

Implementation of Pujol's meteor trajectory model

Language:Python010

QuentinBrissaud.github.io

Personal website of Quentin Brissaud

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RW_atmos

Solver of dispersion equations for RW-induced acoustic waves

Language:Python010