pytabkit and DeepTables
These are competitors offering overlapping deep learning solutions for tabular data, with PyTabKit providing active maintenance and distribution (evidenced by substantial monthly downloads) while DeepTables appears dormant or deprecated (zero monthly downloads despite higher GitHub stars).
About pytabkit
dholzmueller/pytabkit
ML models + benchmark for tabular data classification and regression
This tool helps data scientists and machine learning practitioners quickly experiment with and benchmark advanced machine learning models for tabular data. You provide your structured datasets, and it outputs trained classification or regression models ready for predictions, along with performance benchmarks. It's designed for those who work with structured data like spreadsheets or database tables.
About DeepTables
DataCanvasIO/DeepTables
DeepTables: Deep-learning Toolkit for Tabular data
DeepTables helps data analysts and scientists quickly build and apply advanced deep learning models to predict outcomes or classify data from structured tables. It takes your raw tabular data, like spreadsheets or database tables, and automatically generates powerful models to give you predictions or insights, without needing extensive manual feature engineering. This is for anyone who works with structured datasets and wants to leverage deep learning for better predictions.
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