| rasbt/musicmood |
373 |
|
0 |
0 |
over 9 years ago |
0 |
|
5 |
gpl-3.0 |
OpenEdge ABL |
| A machine learning approach to classify songs by mood. |
| marcogdepinto/emotion-classification-from-audio-files |
340 |
|
0 |
0 |
almost 3 years ago |
0 |
|
10 |
gpl-3.0 |
Python |
| Understanding emotions from audio files using neural networks and multiple datasets. |
| Captain-FLAM/KaraFan |
42 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
Python |
| The BEST music separation model with help of A.I. ... to my ears ! 👂👂 |
| kyungyunlee/ismir2018-revisiting-svd |
38 |
|
0 |
0 |
over 5 years ago |
0 |
|
3 |
|
Python |
| Revisiting Singing Voice Detection : a Quantitative Review and the Future Outlook |
| akash720/moodmusics |
20 |
|
0 |
0 |
over 2 years ago |
0 |
|
6 |
mit |
JavaScript |
| A music player which play songs based on your mood. Checkout this link : moodmusics.up.railway.app |
| cperales/foucluster |
15 |
|
0 |
0 |
almost 7 years ago |
1 |
November 28, 2018 |
0 |
mit |
Python |
| FouCluster compute distance among songs in frequency domains, and operate with clusters |
| siddgood/billboard-hit-prediction |
14 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| :notes: Predicting Billboard's Year-End Hot 100 Songs using audio features from Spotify and lyrics from Musixmatch |
| Sarathisme/music-recommendation-system |
14 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| A simple Music Recommendation System |
| ahipolito94/Spotify-Analysis |
11 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Analyzing and Predicting Songs |
| darkfire5900/Find-The-Beat |
10 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
|
Python |
| Building a recommendation engine using data available via the Spotify API. |
