Alternatives and similar repositories for tabulardl-benchmark

Users that are interested in tabulardl-benchmark are comparing it to the libraries listed below

• puhsu / tabular-dl-pretrain-objectives
  Revisiting Pretrarining Objectives for Tabular Deep Learning
  ☆65Updated 3 years ago
• bits-bytes-nn / gauss-rank-scaler
  Scikit-learn compatible implementation of the Gauss Rank scaling method
  ☆73Updated last year
• mgrankin / fast_tabnet
  TabNet for fastai
  ☆124Updated 2 weeks ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆159Updated 2 years ago
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆279Updated 2 years ago
• baosenguo / Kaggle-MoA-2nd-Place-Solution
  ☆170Updated 4 years ago
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆64Updated 7 months ago
• tusharsarkar3 / XBNet
  Boosted neural network for tabular data
  ☆216Updated last year
• AstraZeneca / SubTab
  The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
  ☆147Updated 3 years ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆210Updated last week
• guitarmind / kaggle_moa_winner_hungry_for_gold
  Winning Solution of Kaggle Mechanisms of Action (MoA) Prediction.
  ☆121Updated 3 years ago
• sbadirli / GrowNet
  ☆205Updated 3 years ago
• ptuls / tabnet-modified
  Modification of TabNet as suggested in the Medium article, "The Unreasonable Ineffectiveness of Deep Learning on Tabular Data"
  ☆62Updated 2 years ago
• AnotherSamWilson / fastshap
  Batch shap calculations.
  ☆31Updated 2 years ago
• aruberts / TabTransformerTF
  TensorFlow implementation of TabTransformer
  ☆84Updated 2 years ago
• jianzhnie / AutoTabular
  Automatic machine learning for tabular data. ⚡🔥⚡
  ☆70Updated 3 years ago
• titu1994 / tf-TabNet
  A Tensorflow 2.0 implementation of TabNet.
  ☆244Updated 2 years ago
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆67Updated 2 years ago
• rapidsai / gputreeshap
  ☆101Updated last week
• AidanCooper / shap-clustering
  How to use SHAP values for better cluster analysis
  ☆59Updated 3 years ago
• DenisVorotyntsev / AutoSeries
  Public solution for AutoSeries competition
  ☆72Updated 5 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 3 years ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated last year
• ryancheunggit / tabular_dae
  ☆52Updated 2 years ago
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆118Updated 2 years ago
• IBM / TabFormer
  Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
  ☆350Updated 2 weeks ago
• somepago / saint
  The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …
  ☆451Updated 3 years ago
• ryancheunggit / Denoise-Transformer-AutoEncoder
  ☆349Updated 4 years ago
• yandex-research / rtdl-num-embeddings
  (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
  ☆381Updated 5 months ago
• marisakamozz / m5
  Kaggle M5 Forecasting - Uncertainty 4th Place Solution
  ☆33Updated 3 years ago