Alternatives and similar repositories for Spotify-Song-Recommendation-ML:

Users that are interested in Spotify-Song-Recommendation-ML are comparing it to the libraries listed below

• tmscarla / spotify-recsys-challenge
  A complete set of Recommender Systems techniques used in the Spotify Recsys Challenge 2018 developed by a team of MSc students in Politec…
  ☆100Updated 5 years ago
• layer6ai-labs / RecSys2018
  1'st Place Approach by Layer6 AI to the 2018 ACM RecSys Challenge
  ☆83Updated last year
• mrthlinh / Spotify-Playlist-Recommender
  Playlist Recommender for Spotify
  ☆42Updated 6 years ago
• beckernick / matrix_factorization_recommenders
  Low-Rank Matrix Factorization for Recommender Systems
  ☆74Updated 8 years ago
• deezer / w2v_reco_hyperparameters_matter
  Repository to reproduce results of "Word2vec applied to Recommendation: Hyperparameters Matter" by H. Caselles-Dupré, F. Lesaint and J. …
  ☆53Updated 5 years ago
• srp98 / Movie-Recommender-using-RBM
  A Movie Recommender System using Restricted Boltzmann Machine (RBM), approach used is collaborative filtering.
  ☆33Updated 6 years ago
• rn5l / rsc18
  Publication of the code we used in the RecSys Challenge 2018.
  ☆12Updated 6 years ago
• taylorhawks / RNN-music-recommender
  sequential content-based recommendation system
  ☆72Updated 5 years ago
• mkurovski / deep_learning_recsys
  Deep Learning for Recommender Systems - Master Thesis, Current Results and Architecture
  ☆93Updated 7 years ago
• animeshgoyal9 / Multi-Armed-Bandit-for-cold-user-in-Recommendation-System
  ☆27Updated 5 years ago
• aayushmnit / cookbook
  A repository of machine learning codes written for re-usability
  ☆144Updated 5 years ago
• rounakbanik / movies
  Second Springboard Capstone Project: A Movie Recommender
  ☆86Updated 7 years ago
• marlesson / recsys_autoencoders
  This project implements different Deep Autoencoder for Collaborative Filtering for Recommendation Systems in Keras
  ☆53Updated 5 years ago
• datadynamo / strata_ny_2017_recommender_tutorial
  Jupyter Notebooks for Strata Data Conference NY 2017 Deep Learning for Recommender Systems Tutorial
  ☆22Updated 7 years ago
• jongpillee / deep-content-user
  An implementation of "Deep Content-User Embedding Model for Music Recommendation" in Keras
  ☆32Updated 6 years ago
• albertauyeung / matrix-factorization-in-python
  ☆87Updated last year
• artem-oppermann / Deep-Autoencoders-For-Collaborative-Filtering
  Using Deep Autoencoders for predictions of movie ratings.
  ☆113Updated last year
• nnimish19 / hybrid-recommender-system
  uses collaborative and content based filtering techniques
  ☆14Updated 8 years ago
• david-cortes / datascienceprojects
  Sample data science projects (machine learning, optimization, business intelligence)
  ☆27Updated 6 years ago
• 0411tony / Yue
  A python library for music recommendation
  ☆98Updated 3 years ago
• federicoparroni / recsys2019
  The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
  ☆30Updated 11 months ago
• beckernick / music_recommender
  Music Recommendations with Collaborative Filtering and Cosine Distance
  ☆38Updated 8 years ago
• harshraj11584 / Paper-Implementation-Matrix-Factorization-Recommender-Systems-Netflix
  [Python3.6] IEEE Paper "Matrix Factorization Techniques for Recommender Systems" by Koren,Bell,Volinsky
  ☆28Updated 6 years ago
• ankur287 / Recommender-Systems
  ☆38Updated 6 years ago
• kwonmha / Improving-RNN-recommendation-model
  Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.
  ☆53Updated 5 years ago
• saurabhmathur96 / movie-recommendations
  Recommend movies to users by RBMs, TruncatedSVD, Stochastic SVD and Variational Inference
  ☆19Updated 5 years ago
• NVIDIA-Merlin / publications
  ☆61Updated this week
• bensadeghi / pyspark-churn-prediction
  Churn Prediction with PySpark using MLlib and ML Packages
  ☆56Updated 9 years ago
• csaluja / JupyterNotebooks-Medium
  ☆124Updated 6 years ago
• jyu-theartofml / Collaborative_filtering
  Recommendation system for music.
  ☆14Updated 2 years ago