ptuls / tabnet-modified
Modification of TabNet as suggested in the Medium article, "The Unreasonable Ineffectiveness of Deep Learning on Tabular Data"
☆61Updated last year
Alternatives and similar repositories for tabnet-modified:
Users that are interested in tabnet-modified are comparing it to the libraries listed below
- Improved TabNet for TensorFlow☆52Updated 2 years ago
- TabNet for fastai☆123Updated 9 months ago
- A Tensorflow 2.0 implementation of TabNet.☆242Updated last year
- ☆197Updated 3 years ago
- Public solution for AutoSeries competition☆72Updated 5 years ago
- Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data☆484Updated 3 years ago
- ☆26Updated 5 years ago
- ☆167Updated 4 years ago
- Winning Solution of Kaggle Mechanisms of Action (MoA) Prediction.☆118Updated 2 years ago
- Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.☆42Updated last year
- ☆49Updated 2 years ago
- Scikit-learn compatible implementation of the Gauss Rank scaling method☆73Updated last year
- A presention of core concepts and a data generator making easier using tabular data with TensorFlow and Keras☆41Updated last year
- ☆129Updated 2 years ago
- This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)☆57Updated 6 years ago
- Benchmark tabular Deep Learning models against each other and other non-DL techniques☆53Updated 3 years ago
- Learn Pyro through the M5 forecasting competition☆84Updated 4 years ago
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆150Updated 4 years ago
- An extension of CatBoost to probabilistic modelling☆142Updated last year
- Kaggle M5 Forecasting - Uncertainty 4th Place Solution☆31Updated 2 years ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆81Updated last year
- Batch shap calculations.☆31Updated 2 years ago
- Revisiting Pretrarining Objectives for Tabular Deep Learning☆63Updated 2 years ago
- Implementation of RLNs, as described in https://arxiv.org/abs/1805.06440☆35Updated 6 years ago
- Implementations of Quantile Regression☆28Updated 6 years ago
- Probabilistic Gradient Boosting Machines☆144Updated 11 months ago
- The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …☆411Updated 3 years ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- ☆37Updated 4 years ago
- Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)☆80Updated 2 years ago