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automatic-machine-learning

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Smart Process Analytics (SPA) is a software package for automatic machine learning. Given user-input data (and optional user preferences), SPA automatically cross-validates and tests ML and DL models. Model types are selected based on the properties of the data, minimizing the risk of data-specific variance.

  • Updated Aug 30, 2024
  • Python

SKSurrogate is a suite of tools that implements surrogate optimization for expensive functions based on scikit-learn. The main purpose of SKSurrogate is to facilitate hyperparameter optimization for machine learning models and optimized pipeline design (AutoML).

  • Updated Sep 29, 2023
  • Python
Face-recognition-Attendance-System-Project
mljar-supervised

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