| # Predicting music popularity using DNNs |
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| 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 |
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| ## Team |
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| * Elisa (elisa.michelet@epfl.ch) |
| * Michał (michal.bien@epfl.ch) |
| * Noé (noe.durandard@epfl.ch) |
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| ## Milestone 3 |
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| Main notebook presenting out results is available [here](https://nbviewer.jupyter.org/github/Glorf/DH-401/blob/main/milestone3.ipynb) |
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| 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) |
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| ## Milestone 2 |
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| Exploratory data analysis notebook is available [here](https://nbviewer.jupyter.org/github/Glorf/DH-401/blob/main/milestone2.ipynb) |
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| ## Milestone 1 |
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| Refined project proposal is available [here](https://github.com/Glorf/DH-401/blob/main/milestone0.md) |
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| ## Milestone 0 |
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| Original project proposal is available in git history [here](https://github.com/Glorf/DH-401/blob/bb14813ff2bbbd9cdc6b6eecf34c9e3c160598eb/milestone0.md) |
