scikit-learn-contrib/category_encoders

Feature engineering and selection open-source Python library compatible with sklearn.

Machine learning with dataframes

Extra blocks for scikit-learn pipelines.

TabFM (Tabular Foundation Model) is a pretrained tabular foundation model developed by Google Research for tabular data regression and classification.

Automated Machine Learning with scikit-learn

scikit-learn: machine learning in Python

Automatic extraction of relevant features from time series:

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.