IBM/lale
Library for Semi-Automated Data Science
This helps data scientists quickly build and optimize machine learning models. You provide your dataset and general modeling goals, and it automatically suggests and fine-tunes algorithms and their settings. The output is a highly optimized machine learning pipeline ready for deployment or further analysis. It's designed for data scientists who want to streamline their model development.
345 stars. Available on PyPI.
Use this if you are a data scientist looking to accelerate experimentation and improve the performance of your machine learning models by automating algorithm selection and hyperparameter tuning.
Not ideal if you need a no-code solution or prefer to manually control every aspect of your machine learning pipeline without any automation.
Stars
345
Forks
82
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 24, 2025
Commits (30d)
0
Dependencies
11
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