Alternatives and similar repositories for deep_learning_for_tabular_data

Users that are interested in deep_learning_for_tabular_data are comparing it to the libraries listed below

• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated last year
• atif-hassan / PyImpetus
  PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in…
  ☆134Updated 5 months ago
• tunguz / TabularBenchmarks
  ☆202Updated 2 months ago
• guitarmind / kaggle_moa_winner_hungry_for_gold
  Winning Solution of Kaggle Mechanisms of Action (MoA) Prediction.
  ☆120Updated 3 years ago
• 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
• mgrankin / fast_tabnet
  TabNet for fastai
  ☆124Updated 3 months ago
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆578Updated last year
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 years ago
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆247Updated last year
• arnabbiswas1 / kaggle_pipeline_tps_aug_22
  Kaggle Pipeline for tabular data competitions
  ☆207Updated last year
• neptune-ai / blog-binary-classification-metrics
  Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"
  ☆56Updated 5 years ago
• tunguz / UCI_Census_Income
  ☆17Updated 3 years ago
• abhishekkrthakur / autoxgb
  XGBoost + Optuna
  ☆715Updated 10 months ago
• tusharsarkar3 / XBNet
  Boosted neural network for tabular data
  ☆216Updated last year
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• ryancheunggit / Denoise-Transformer-AutoEncoder
  ☆348Updated 4 years ago
• khuyentran1401 / Machine-learning-pipeline
  Example machine learning pipeline with MLflow and Hydra
  ☆91Updated 2 years ago
• AidanCooper / shap-analysis-guide
  How to Interpret SHAP Analyses: A Non-Technical Guide
  ☆56Updated 3 years ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆248Updated last year
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆210Updated last year
• bits-bytes-nn / gauss-rank-scaler
  Scikit-learn compatible implementation of the Gauss Rank scaling method
  ☆73Updated last year
• vinyluis / Articles
  References to the Medium articles
  ☆86Updated 2 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
• DanilZherebtsov / verstack
  ☆100Updated last week
• titu1994 / tf-TabNet
  A Tensorflow 2.0 implementation of TabNet.
  ☆244Updated 2 years ago
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆151Updated 3 months ago
• rafiqhasan / auto-tensorflow
  Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.co…
  ☆181Updated 2 years ago
• rasgointelligence / feature-engineering-tutorials
  Data Science Feature Engineering and Selection Tutorials
  ☆286Updated last month
• smazzanti / are_you_still_using_elbow_method
  ☆150Updated 2 years ago