https://github.com/alserglab/mascarade
Generate masks for scRNA-seq clusters on t-SNE or UMAP plots
https://github.com/alstat/ma-thesis-codes
Repository for my MA in Islamic Studies Thesis
https://github.com/altamarmx/esolmet_explorer
Repo para la exploración de datos meteorológicos
https://github.com/altamarmx/pe-pythoncoursera
Presentación del Programa de Especialización de Pyhon en Coursera
https://github.com/altamarmx/cafe_2025
Repo para datos de la cafeteria, 2025 es el bueno.
https://github.com/altamarmx/quarto-chatgpt-tableros
"Repositorio del taller 'Creando tableros con Quarto y ChatGPT: descubriendo los límites de los LLM'. Aquí encontrarás ejemplos, códigos, y recursos utilizados para aprender a construir tableros interactivos con Quarto y explorar cómo los modelos de lenguaje (LLM) como ChatGPT pueden apoyar en el proceso de desarrollo."
https://github.com/altamarmx/epw_era5
Repo para generar EPWs para simulaciones energéticas
https://github.com/altaris/qiskit-benchmark
A simple qiskit benchmark that runs random circuits
https://github.com/altaris/htpy-str-omegacat
Unofficial notes from the lectures of François Métayer ``Homotopy Theory of Strict $\omega$-Categories''
https://github.com/amacaluso/ssb-vae
Self-Supervised Bernoulli Autoencoders for Semi-Supervised Hashing: we investigate the robustness of hashing methods based on variational autoencoders to the lack of supervision, focusing on two semi-supervised approaches currently in use. In addition, we propose a novel supervision approach in which the model uses its own predictions of the label distribution to implement the pairwise objective. Compared to the best baseline, this procedure yields similar performance in fully-supervised settings but improves significantly the results when labelled data is scarce.