readme: # Predicting music popularity using DNNs
  
  This is a model fine-tuned for music popularity classification, created as part of DH-401: Digital Musicology class on EPFL
  
  ## Team
  
  * Elisa (elisa.michelet@epfl.ch)
  * Michał (michal.bien@epfl.ch)
  * Noé (noe.durandard@epfl.ch)
  
  ## Milestone 3
  
  Main notebook presenting out results is available [here](https://nbviewer.jupyter.org/github/Glorf/DH-401/blob/main/milestone3.ipynb)
  
  Notebook describing the details of Wav2Vec2.0 pre-training and fine-tuning for the task is available [here](https://nbviewer.jupyter.org/github/Glorf/DH-401/blob/main/milestone3-wav2vec2.ipynb)
  
  ## Milestone 2
  
  Exploratory data analysis notebook is available [here](https://nbviewer.jupyter.org/github/Glorf/DH-401/blob/main/milestone2.ipynb)
  
  ## Milestone 1
  
  Refined project proposal is available [here](https://github.com/Glorf/DH-401/blob/main/milestone0.md)
  
  
  ## Milestone 0
  
  Original project proposal is available in git history [here](https://github.com/Glorf/DH-401/blob/bb14813ff2bbbd9cdc6b6eecf34c9e3c160598eb/milestone0.md)