Parallel computing with task scheduling
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Fast and Accurate ML in 3 Lines of Code
Feature engineering and selection open-source Python library compatible with sklearn.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
PySpark + Scikit-learn = Sparkit-learn
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.