Jupyter Notebook hyperparameter-optimization

Open-source Jupyter Notebook projects categorized as hyperparameter-optimization

Top 5 Jupyter Notebook hyperparameter-optimization Projects


    A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

    Project mention: AutoGen: Enabling Next-Gen GPT-X Applications | news.ycombinator.com | 2023-08-22

    I really like the simplicity of this framework, and they hit on a lot of common problems found in other agent-based frameworks. Most intrigued by the RAG improvements.

    Seems like Microsoft was frustrated with the pace of movement in this space and the shitty results of agents (which admittedly kept my interest turned away from agents for the last few months). I'm interested again because it makes practical sense, and from looking at the example notebooks, seems fairly easy to integrate into existing applications.

    Maybe this is the 'low code' approach that might actually work, and bridge together engineering and non-engineering resources.

    This example was what caught my eye: https://github.com/microsoft/FLAML/blob/main/notebook/autoge...

  • coursera-deep-learning-specialization

    Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

    Project mention: coursera-deep-learning-specialization: NEW Courses - star count:2087.0 | /r/algoprojects | 2023-07-31
  • InfluxDB

    Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.

  • mango

    Parallel Hyperparameter Tuning in Python (by ARM-software)

  • 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..)

  • 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.

  • SonarLint

    Clean code begins in your IDE with SonarLint. Up your coding game and discover issues early. SonarLint is a free plugin that helps you find & fix bugs and security issues from the moment you start writing code. Install from your favorite IDE marketplace today.

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). The latest post mention was on 2023-08-22.

Jupyter Notebook hyperparameter-optimization related posts


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

Project Stars
1 FLAML 2,803
2 coursera-deep-learning-specialization 2,233
3 mango 291
4 Intrusion-Detection-System-Using-Machine-Learning 232
5 Spotify_Song_Recommender 28
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