Collection of utils, references and notebooks on tabular data analysis.

TabNeT

• TabNet: Attentive Interpretable Tabular Learning
• Sebastien Fischman - Pytorch-TabNet: Beating XGBoost on Tabular Data Using Deep Learning
• PyTorch implementation of Tabnet

SuperTML: 2d embeddings

• SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular Data
• PyTorch implementation of SuperTML
• SuperTML for HiggsML

Data augmentation

• DeltaPy⁠⁠ — Tabular Data Augmentation & Feature Engineering
• Synthetic Minority Oversampling Technique (SMOTE)
• Augmented distillations

Tips and tricks

• Binary Classification: Tips and Tricks from 10 Kaggle Competitions
• Category Encoders