Bayesian-Optimization-in-FSharp VS Spotify_Song_Recommender

Compare Bayesian-Optimization-in-FSharp vs Spotify_Song_Recommender and see what are their differences.

Spotify_Song_Recommender

This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists. (by BobbyWilt)
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Bayesian-Optimization-in-FSharp Spotify_Song_Recommender
1 3
5 28
- -
10.0 0.0
over 1 year ago almost 2 years ago
Jupyter Notebook Jupyter Notebook
- MIT License
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Bayesian-Optimization-in-FSharp

Posts with mentions or reviews of Bayesian-Optimization-in-FSharp. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

When comparing Bayesian-Optimization-in-FSharp and Spotify_Song_Recommender you can also consider the following projects:

BayesianOptimization - A Python implementation of global optimization with gaussian processes.

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handson-ml - ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

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

Intrusion-Detection-System-Using-Machine-Learning - Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

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

Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.