tbertinmahieux / MSongsDBLinks
Code for the Million Song Dataset, the dataset contains metadata and audio analysis for a million tracks, a collaboration between The Echo Nest and LabROSA. See website for details.
☆685Updated 6 years ago
Alternatives and similar repositories for MSongsDB
Users that are interested in MSongsDB are comparing it to the libraries listed below
Sorting:
- Automated music genre classification using machine learning☆201Updated 7 years ago
- Music Structure Analysis Framework☆525Updated last week
- Instructional notebooks on music information retrieval.☆1,243Updated last year
- Music auto-tagging models and trained weights in keras/theano☆613Updated 7 years ago
- folk music modelling with LSTM☆339Updated 3 years ago
- Code for creating a dataset of MIDI ground truth☆167Updated 6 years ago
- Python client for the Echo Nest API☆676Updated 9 years ago
- Use deep learning to generate and harmonize music in the style of Bach☆387Updated last year
- Transfer learning for music classification and regression tasks☆256Updated 5 years ago
- Deep learning for MIR☆244Updated 9 months ago
- The Audio Set Ontology aims to provide a comprehensive set of categories to describe sound events.☆678Updated 7 years ago
- Music IR Library for Python☆158Updated 7 years ago
- Finding the genre of a song with Deep Learning☆1,111Updated 3 years ago
- Classification using audio features to generate mood profiles for spotify playlists☆102Updated 8 years ago
- A (very incomplete) project that combines machine learning with music.☆266Updated 6 years ago
- Simple collection of MIR datasets with metadata and links☆243Updated last month
- Deep Learning for audio and text☆101Updated 2 years ago
- Classify music genre from a 10 second sound stream using a Neural Network.☆585Updated 5 years ago
- Evaluation functions for music/audio information retrieval/signal processing algorithms.☆657Updated 4 months ago
- A JSON Annotated Music Specification for Reproducible MIR Research☆192Updated last month
- Pronounced as "musician", musicnn is a set of pre-trained deep convolutional neural networks for music audio tagging.☆647Updated last year
- Tensorflow implementation of the models used in "End-to-end learning for music audio tagging at scale"☆150Updated 5 years ago
- In-browser demo of a convolutional neural network for music genre recognition.☆169Updated 4 years ago
- A machine learning approach to classify songs by mood.☆418Updated 8 years ago
- FMA: A Dataset For Music Analysis☆2,425Updated 2 years ago
- Python audio and music signal processing library☆1,459Updated 10 months ago
- ☆68Updated 2 years ago
- Rhythm Pattern music feature extractor by IFS @ TU-Vienna☆112Updated 6 years ago
- code accompanying "DeepBach: a Steerable Model for Bach Chorales Generation" paper☆511Updated 2 years ago
- Repository for the ISMIR website☆27Updated 6 years ago