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HiPeRTA is a C++ library implementing the real-time analysis low-level reconstruction algorithms of the Cherenkov Telescope Array (CTA). The real-time analysis is used by the Science Alert Generation (SAG) subsystem of the Array Control And Data Acquisition (ACADA) of CTAO for data quality and science monitoring and science alert generation.

Jupyter Notebooks in support of the MEC558 course on hydrology and water resources.

Cours d'informatique scientifique avec Python

HiC on Kefir metagenome

Materials for the work on diffusion models for astro

Multi Chain Monte Carlo Markov Chain

This project contains some tools that we use to analyse datas and for our daily workflow.

QControl3 Scripts used to run the experiment.

This repository contains all data and scripts for the article "Massive sampling strategy for antibody-antigen targets in CAPRI Round 55 with MassiveFold".

GammaLearn: Deep Learning for Imaging Cherenkov Telescopes Data Analysis

Manipulating& Visualizing multispectral data