Our dataset includes 3,800 audio files, averaging 35.51 ± 5.91 recordings per patient, covering surgeries like Tonsillectomy, Functional Endoscopic Sinus Surgery, and Septoplasty.
Our dataset includes 2,977 audio files, averaging 26.88 ± 3.35 recordings per participant, 54 individuals diagnosed with Parkinson’s Disease and 58 healthy controls.
A library to retrieve any stock market data from EOD Historical Data market datafeed API.
Python code to Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space paper.
Bash simple script to monitorize the use of GPU by the colleagues of the department
Python code to Bayesian Sparse Factor Analysis with Kernelized Observations paper.
I have developed a powerful and user-friendly tool designed to manually correct automatic transcriptions of audio files. This tool is particularly useful for refining transcriptions made by Whisper, ensuring high accuracy and quality.
Python code to Exploring the Power of PPG Matrix for Atrial Fibrillation Detection with Integrated Explainability paper.
An unfinished project of reading public spanish electrical prices and do some ML
Slides of the BioInspired Learning course at MUIT UPM