There are 3 repositories under genre topic.
Music genre classification with LSTM Recurrent Neural Nets in Keras & PyTorch
A cute multi-layer LSTM that can perform like a human 🎶
music genre classification : LSTM vs Transformer
🎥 Gorgeous desktop movie collections
Plex 拼音排序、拼音搜索及标签汉化工具
Music Genre Recognition App With Accuracy of 89%.
Yahoo Music Recommendation system based on several user ratings for albums and provide song recommendations to the users.
Predict the genre of a song using the Torch deep learning library
A simple anime recommendation system based on ratings and genre.
An attempt at genre classification with convolutional neural networks and spectrograms
Project that uses an API to list movies and tv shows that are latest, popular, top rated & on air.
Scrapers for albums and reviews from rateyourmusic.com.
Using machine learning to classify book reviews based on genre
A Web App For Exploring Spotify Data using GraphQL
The JSON list for all the general music genres
IMDB API for Python
A terminal client for YTS.MX.
Genre classifier for Dutch historical newspaper articles.
beets plugin to auto-detect the genre for each item within your music library
Music Genre Classifier Web Application
:movie_camera: @ZeoAgency IMDB App Challenge with Django, Dgraph (GraphQL+-) and Auth0
Machine learning approach to classify music genre on GTZAN dataset using CNN + LSTM
Using machine learning to cluster book reviews based on genre
A Movie App built using React js , Material UI & OMDb API that allows searching of 1000+ movies and provides information about their plot , IMDB rating , MetaScore , Genre and Year in which it is published
A real time tempo adjustment android application with genre classification
What was supposed to be [A blog by readers for readers]. Who knows, it might still be in the future.
Collection of piano textures
Repositório do modulo de scrapper do MyAnimeList.
I queried the Chinook Music Database to help the company understand the media in their store, their customers and employees, and their invoice information. I used SQLite and Power BI for this project