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
• ryancheunggit / tabular_dae
  ☆52Updated 2 years ago
• atif-hassan / PyImpetus
  PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in…
  ☆133Updated 4 months ago
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆118Updated 2 years ago
• tunguz / TabularBenchmarks
  ☆201Updated 2 months ago
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆247Updated last year
• tusharsarkar3 / XBNet
  Boosted neural network for tabular data
  ☆214Updated 11 months ago
• kelvnt / data-drift-detector
  Developmental tools to detect data drift
  ☆16Updated 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
• mgrankin / fast_tabnet
  TabNet for fastai
  ☆124Updated 2 months ago
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆578Updated last year
• arnabbiswas1 / kaggle_pipeline_tps_aug_22
  Kaggle Pipeline for tabular data competitions
  ☆207Updated last year
• guitarmind / kaggle_moa_winner_hungry_for_gold
  Winning Solution of Kaggle Mechanisms of Action (MoA) Prediction.
  ☆120Updated 3 years ago
• titu1994 / tf-TabNet
  A Tensorflow 2.0 implementation of TabNet.
  ☆243Updated 2 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆150Updated 2 months ago
• tunguz / UCI_Census_Income
  ☆17Updated 3 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• Alex-Lekov / AutoML_Alex
  State-of-the art Automated Machine Learning python library for Tabular Data
  ☆233Updated last year
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆249Updated last year
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 years ago
• DanilZherebtsov / verstack
  ☆100Updated last week
• abhishekkrthakur / autoxgb
  XGBoost + Optuna
  ☆716Updated 10 months ago
• vinyluis / Articles
  References to the Medium articles
  ☆86Updated 2 years ago
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆538Updated 2 years ago
• jaswinder9051998 / zoofs
  zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range fr…
  ☆247Updated 3 weeks ago
• MAIF / eurybia
  ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation
  ☆211Updated 8 months ago
• Shivanandroy / CategoricalEmbedder
  Categorical Embedder is a python package that let's you convert your categorical variables into numeric via Neural Networks
  ☆25Updated 5 years ago
• bits-bytes-nn / gauss-rank-scaler
  Scikit-learn compatible implementation of the Gauss Rank scaling method
  ☆73Updated last year
• NITRO-AI / NitroFE
  NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …
  ☆106Updated 3 years ago