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🧑‍💻️ Hi there, I'm Jose R. Zapata

Data Science Technical Leader at MercadoLibre and Adjunct Professor at Faculty of Information and Communication Technologies (TIC), Universidad Pontificia Bolivariana. https://joserzapata.github.io/

My interests are based around Data science, MLOps and Audio and Music information technologies, which includes Music information retrieval, Machine Learning, CI/CD/CT, Audio analysis and Data analysis. I love Music 🎸.

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Jose R. Zapata's Projects

data-science-project-template icon data-science-project-template

A modern template for data science projects with all the necessary tools for experiment, development, testing, and deployment. From notebooks to production.

demo-data-science-template icon demo-data-science-template

Demo of a data science proyect using de data science template https://github.com/JoseRZapata/data-science-project-template

essentia icon essentia

C++ library for audio and music analysis, description and synthesis, including Python bindings

lynda-dl icon lynda-dl

A Python script to download lecture videos for a lynda.com course for personal offline use [updated version]

multifeaturebeattracking icon multifeaturebeattracking

Matlab implementation of the: J.R. Zapata, M. Davies and E. Gómez, "Multi-feature beat tracker," IEEE/ACM Transactions on Audio, Speech and Language Processing. 22(4), pp. 816-825, 2014"

pycon2018colombia icon pycon2018colombia

Talk about Audio signal analysis with python in PyCon 2018 in Medellin - Colombia

pycon2020colombia icon pycon2020colombia

Charla en Pycon 2020 Colombia - Comprensión de la música con Python, una mirada desde la Física y la Matemática

pydafx icon pydafx

Python implementation of the Matlab code from the book DAFX - digital audio effects (Work in progress)

python icon python

All Algorithms implemented in Python

sys icon sys

Sistemas y Señales, Repositorio de Jupyter notebooks

tempoaes42 icon tempoaes42

Results of the paper: Zapata, Jose R.; Gómez, Emilia. "Comparative Evaluation and Combination of Audio Tempo Estimation Approaches", AES 42nd International Conference: Semantic Audio, Ilmenau, Germany. pp. 198 - 207, Jul 2011. in a jupyter notebook

virgilio icon virgilio

Your new Mentor for Data Science E-Learning.

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