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  • Berlin, Germany

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jvaleroliet/README.md

Hola ๐Ÿ‘‹

I'm Juan, a passionate mathematician and data expert with a deep love for music, sound processing, and radio shows.

Audio & Music Projects

  • I am building deepdiggin, a deep learning application that accurately classifies vinyl records condition based on audio analysis, utilizing the Goldmine Grading Standard. Demo + info of the project can be found here.

  • I have coded an EDM genre classifier, based on pytorch. You can try it live on huggin face.

  • I made an in-depth analysis of my 14 (!) years of Spotify listening habits, revealing my personal music preferences and consumption patterns over time. All the info is on my portfolio, with ML-created-playlists, and you can recreate it for your music history by cloning this repo.

  • I have a musical project called Sono Mayrit. The page is built in markdown and the code can be found here.

Python Tools

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  1. pvernier/pykobo pvernier/pykobo Public

    A Python module to fetch data from the Kobo API

    Python 15 4

  2. music_classificator music_classificator Public

    Music genre classificator with pytorch. Electronic Dance Music (EDM).

    Jupyter Notebook 1

  3. datosgobes datosgobes Public

    Manage data from Spain's open data portal (https://datos.gob.es/es/) easily. The library simplifies API access and streamlines workflows for Python users.

    Python 7

  4. deepdiggin deepdiggin Public

    A Python library for classifying vinyl record condition using deep learning models.

    Python 4

  5. deepdiggin_project deepdiggin_project Public

    Vinyl Classification Deep Learning Audio project.

    Jupyter Notebook 3

  6. spotify-analysis spotify-analysis Public archive

    Spotify Data Analysis based on my lifetime streaming history data.

    Jupyter Notebook 3