P

python

Ce dépôt Git contient le code de la plateforme de code (Jupyter Lite) pour les TD de préorientation - SICOM : Traitement du Signal et Multimedia - 3PMPOLS6 à l'école d'ingénieurs Phelma.

🌐 Lien vers la plateforme de TD : https://phelma-sicom.gricad-pages.univ-grenoble-alpes.fr/1a/3pmpols6-td

Edition numérique de la Chronique française de Guillaume Cretin - https://crenum.elan-numerique.fr/

This project develops a comprehensive benchmarking framework for time-series clustering, addressing the lack of standardized guidelines for selecting appropriate approach for clustering tasks. The framework derives and evaluates 15 clustering pipelines comprising multiple well-known clustering techniques and diverse distance metrics, with the constraint of using the same number of clusters for all pipelines to ensure comparability and consistency in the evaluation process. The procedure for standardizing clustering labels, generating ensemble outcomes, and incorporating a stability score is introduced to provide a comprehensive and rigorous evaluation of clustering pipelines. The challenge posed by arbitrary label assignments across different pipelines is resolved through a standardization process that aligns the clusters for meaningful comparison. The ensemble approach mitigates inconsistencies in clustering results and addresses the limitations of traditional clustering validity metrics, leading to more stable and reliable groupings. Additionally, the inclusion of a novel stability score adds a critical layer of evaluation, enabling the identification of the most consistent and accurate clustering outcomes. The results highlight limitations of traditional quality metrics, while showcasing the strong performance for various pipelines with more than 90% of similarity with ensemble results. This would aid in informed selection of the best pipelines for specific applications. The framework is further discussed in the context of optimizing clustering for demand response strategies in smart grids, highlighting its real-world relevance. To support transparency and reproducibility, the study provides open-source code for validating and applying it to various time-series datasets, offering a robust tool for benchmarking clustering across domains.

WalT - Wireless Testbed

This project aims at using the APRP method, developed in Taylor, K. E. and al. (2007) (doi:10.1175/JCLI4143.1) and Zelinka, M. D., T. Andrews, P. M. Forster, and K. E. Taylor, 2014 (doi:10.1002/2014JD021710), on the Arctic for an ensemble CMIP6 model.

This project holds a raw jupyter notebook, to be filled with user-defined parameters and options, to download CMIP6 data through a csv file. It was done thanks to the intake-esgf python module : https://intake-esgf.readthedocs.io/en/latest/. It is associated to an utilitary package that can be found on pypi. The development of this package is done within this repository.

Many options are available to preprocess the data and improve the output of the intake-esgf catalog.

Feel free to contact me or to raise issues !

This project is aiming at handling an utility package for importing CMIP6 data in a jupyter notebook.

Codes and scripts used to compare the volume and coverage of WoS and OpenAlex for UGA

Ce dépôt Git contient le code de la plateforme (Jupyter Book) pour le module de 2A - SICOM : Introduction à l'intelligence artificielle - 4PMSIIA4 à l'école d'ingénieurs Phelma.

🌐 Site accessible via ce lien : https://phelma-sicom.gricad-pages.univ-grenoble-alpes.fr/2a/4pmsiia4-cours

Toolbox dedicated to the teaching of energy management for building

Ce dépôt Git contient le code de la plateforme (Jupyter Book) pour le module de préorientation - SICOM : Traitement du Signal et Multimedia - 3PMPOLS6 à l'école d'ingénieurs Phelma.

🌐 Lien vers la plateforme de cours : https://phelma-sicom.gricad-pages.univ-grenoble-alpes.fr/1a/3pmpols6-cours

Ce dépôt Git contient le code de la plateforme de code (Jupyter Lite) pour les TD de 2A - SICOM : Introduction à l'intelligence artificielle - 4PMSIIA4 à l'école d'ingénieurs Phelma.

🌐 Lien vers la plateforme de TD : https://phelma-sicom.gricad-pages.univ-grenoble-alpes.fr/2a/4pmsiia4-td

Ce dépôt Git contient le code de la plateforme (Jupyter Book) pour l'utilisation du Raspberry Pi à l'école d'ingénieurs Phelma.

🌐 Lien vers la plateforme : https://phelma-sicom.gricad-pages.univ-grenoble-alpes.fr/2a/raspberry-pi/

[EN] Simple script to create graph papers (linear or log scale) with python3 and matplotlib.

[FR] Simple script pour créer des papiers quadrillés (papier millimétré, papier log ou semi-log) avec python3 et matplotlib.

The ministag module has reasonably good functionality but poor user features, so I am adding some in order to improve productivity (and preserve my santé mentale) while doing geo interne homework.