Spotify_Song_Recommender VS mango

Compare Spotify_Song_Recommender vs mango and see what are their differences.

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Spotify_Song_Recommender mango
3 -
28 310
- 1.6%
0.0 5.8
almost 2 years ago about 1 month ago
Jupyter Notebook Jupyter Notebook
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Spotify_Song_Recommender

Posts with mentions or reviews of Spotify_Song_Recommender. We have used some of these posts to build our list of alternatives and similar projects.

mango

Posts with mentions or reviews of mango. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning mango yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Spotify_Song_Recommender and mango you can also consider the following projects:

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Bayesian-Optimization-in-FSharp - Bayesian Optimization via Gaussian Processes in F#

vizier - Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

StravaKudos - :running: :dart: Predicting Strava Kudos on my own activities using the given activity's attributes.

neural-tangents - Fast and Easy Infinite Neural Networks in Python

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

feature-engineering-tutorials - Data Science Feature Engineering and Selection Tutorials