| # Predicting music popularity using DNNs | |
| This is a pre-trained wav2vec2.0 model, trained on a fill Free Music Archive repository, 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) |