| 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. |
| AI-ON/Few-Shot-Music-Generation |
161 |
|
0 |
0 |
over 7 years ago |
0 |
|
9 |
|
Python |
| gabolsgabs/DALI |
156 |
|
0 |
2 |
almost 6 years ago |
4 |
April 08, 2020 |
0 |
other |
Python |
| DALI: a large Dataset of synchronised Audio, LyrIcs and vocal notes. |
| AlekseyKorshuk/huggingartists |
42 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
gpl-3.0 |
Jupyter Notebook |
| Lyrics generation with GPT2-based Transformer |
| dlebech/lyrics-generator |
39 |
|
0 |
0 |
almost 4 years ago |
0 |
|
1 |
mit |
Python |
| Generating lyrics with a recurrent neural network |
| chitralekha18/AutomaticSungLyricsAnnotation_ISMIR2018 |
17 |
|
0 |
0 |
over 3 years ago |
0 |
|
1 |
|
Python |
| zhao1701/spotify-song-lyric-analysis |
17 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| An extended analysis of the evolution of American popular music from 1960 to 2017 using data from the Billboard Year-End Hot 100 charts, lyrics scraped from the web, and Spotify audio features. |
| thesephist/cornelia |
17 |
|
0 |
0 |
about 3 years ago |
0 |
|
2 |
mit |
JavaScript |
| Guess that Taylor Swift line <3 |
| deezer/deezer_mood_detection_dataset |
16 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
|
| A dataset of Valence/Arousal detection with deezer Id and MSD Id as input |
| amrittb/orchestrate-ai |
15 |
|
0 |
0 |
about 6 years ago |
0 |
|
2 |
mit |
Python |
| Deep Learning application to classify music by emotion and to generate music by emotion |
