# 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)
{}
transformers pytorch safetensors wav2vec2 feature-extraction endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #safetensors #wav2vec2 #feature-extraction #endpoints_compatible #has_space #region-us 

# 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@URL)
* Michał (URL@URL)
* Noé (noe.durandard@URL)

## Milestone 3

Main notebook presenting out results is available here

Notebook describing the details of Wav2Vec2.0 pre-training and fine-tuning for the task is available here

## Milestone 2

Exploratory data analysis notebook is available here

## Milestone 1

Refined project proposal is available here


## Milestone 0

Original project proposal is available in git history here
# 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@URL)
* Michał (URL@URL)
* Noé (noe.durandard@URL) ## Milestone 3

Main notebook presenting out results is available here

Notebook describing the details of Wav2Vec2.0 pre-training and fine-tuning for the task is available here ## Milestone 2

Exploratory data analysis notebook is available here ## Milestone 1

Refined project proposal is available here ## Milestone 0

Original project proposal is available in git history here
TAGS
#transformers #pytorch #safetensors #wav2vec2 #feature-extraction #endpoints_compatible #has_space #region-us 
 # 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@URL)
* Michał (URL@URL)
* Noé (noe.durandard@URL) ## Milestone 3

Main notebook presenting out results is available here

Notebook describing the details of Wav2Vec2.0 pre-training and fine-tuning for the task is available here ## Milestone 2

Exploratory data analysis notebook is available here ## Milestone 1

Refined project proposal is available here ## Milestone 0

Original project proposal is available in git history here
passage: TAGS
#transformers #pytorch #safetensors #wav2vec2 #feature-extraction #endpoints_compatible #has_space #region-us 
# 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@URL)
* Michał (URL@URL)
* Noé (noe.durandard@URL)## Milestone 3

Main notebook presenting out results is available here

Notebook describing the details of Wav2Vec2.0 pre-training and fine-tuning for the task is available here## Milestone 2

Exploratory data analysis notebook is available here## Milestone 1

Refined project proposal is available here## Milestone 0

Original project proposal is available in git history here