PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

An R implementation of TabNet

Modification of TabNet as suggested in the Medium article, "The Unreasonable Ineffectiveness of Deep Learning on Tabular Data"

Improved TabNet for TensorFlow

🥇KNOW기반 직업 추천 알고리즘 경진대회 1등 솔루션입니다🥇

Real-time aircraft localization prediction based on crowdsourced air traffic control communication data (ADS-B)

No-Caffeine-No-Gain's Deep Knowledge Tracing (DKT)

This project has applied Machine Learning and Deep Learning techniques to analyse and predict the Air Quality in Beijing.

🧪categorical tabnet research part🧪

A TensorFlow 2 Keras implementation of TabNets.

🏆신용카드 사용자 연체 예측 AI 경진대회 2등 솔루션🏆

Predict fraud transaction

image transformation and enhancement based attacks on fingerprint presentation attack detection systems

TabNet: Attentive Interpretable Tabular Learning (Pytorch implementation)

使用比赛方提供的脱敏数据，进行客户信贷流失预测。

A machine learning-based web application for predicting heart disease using algorithms like SVM, TabNet, and Random Forest, built with Python and Django.

Benchmarking embedding methods (UMAP, VAE, PCA, FA, ICA, etc.) for survival prediction on omics data with TabNet, CatBoost and ridge models.

A methodology development using tabnet transformers for car insurance prediction.

"Predicting blood glucose levels using advanced machine learning techniques, including XGBoost, LightGBM, CatBoost, Random Forest, TabNet, and model stacking/ensembling with K-Fold cross-validation for improved accuracy."