A comprehensive toolkit and benchmark for tabular data learning, featuring 35+ deep methods, more than 10 classical methods, and 300 diverse tabular datasets.
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Updated
Sep 4, 2026 - Python
A comprehensive toolkit and benchmark for tabular data learning, featuring 35+ deep methods, more than 10 classical methods, and 300 diverse tabular datasets.
Awesome Tabular Deep Learning for "Representation Learning for Tabular Data: A Comprehensive Survey"
SAP-RPT-1-OSS predictor Claude Skills
PyTorch implementation of TransFASNet: a single-branch Transformer with contrastive self-supervised pretraining (NT-Xent) for credit card fraud detection on tabular data.
🎯 Streamline talent management with this intuitive platform for tracking, recruiting, and onboarding top candidates efficiently.
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