Jupyter Notebook bayesian-optimization

Open-source Jupyter Notebook projects categorized as bayesian-optimization
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Topics: hyperparameter-optimization Machine Learning gaussian-processes neural-network Spotify
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Top 4 Jupyter Notebook bayesian-optimization Projects

  • 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..)

  • mango

    Parallel Hyperparameter Tuning in Python (by ARM-software)

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  • 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.

  • Bayesian-Optimization-in-FSharp

    Bayesian Optimization via Gaussian Processes in F#

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Jupyter Notebook bayesian-optimization related posts

Index

What are some of the best open-source bayesian-optimization projects in Jupyter Notebook? This list will help you:

Project Stars
1 Intrusion-Detection-System-Using-Machine-Learning 320
2 mango 310
3 Spotify_Song_Recommender 28
4 Bayesian-Optimization-in-FSharp 5

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