Alternatives and similar repositories for binclass-tools

Users that are interested in binclass-tools are comparing it to the libraries listed below

• rxavier / poniard
  Streamline scikit-learn model comparison.
  ☆143Updated 2 years ago
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆56Updated 11 months ago
• smazzanti / are_you_still_using_elbow_method
  ☆150Updated 2 years ago
• AidanCooper / shap-analysis-guide
  How to Interpret SHAP Analyses: A Non-Technical Guide
  ☆56Updated 3 years ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated last year
• eli5-org / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆306Updated 4 months ago
• scikit-learn-contrib / hiclass
  A python library for hierarchical classification compatible with scikit-learn
  ☆134Updated 5 months ago
• adriangb / scikeras
  Scikit-Learn API wrapper for Keras.
  ☆247Updated 8 months ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 years ago
• tunguz / TabularBenchmarks
  ☆202Updated 3 months ago
• IFCA-Advanced-Computing / frouros
  Frouros: an open-source Python library for drift detection in machine learning systems.
  ☆224Updated last week
• ivanlen / pipreqsnb
  pipreqs with jupyter notebook support
  ☆70Updated 2 years ago
• DanilZherebtsov / verstack
  ☆100Updated last month
• salimamoukou / acv00
  ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…
  ☆102Updated 2 years ago
• cpa-analytics / embedding-encoder
  Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
  ☆41Updated 2 years ago
• zelros / cinnamon
  CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
  ☆77Updated 2 years ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆249Updated last year
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆387Updated last year
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆166Updated last week
• khuyentran1401 / reproducible-data-science
  Tutorials on creating a reproducible and maintainable data science project
  ☆146Updated 3 years ago
• 6chaoran / jupyter-summarytools
  summarytools in jupyter notebook
  ☆111Updated last year
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆541Updated 2 years ago
• MAIF / eurybia
  ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation
  ☆213Updated 10 months ago
• AutoViML / deep_autoviml
  Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…
  ☆121Updated last year
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆127Updated last year
• Brett-Kennedy / ClassificationThresholdTuner
  Tool to set the thresholds for classification problems and to visualize the implications of potential thresholds.
  ☆38Updated 10 months ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆210Updated last year
• sid-the-coder / QuickDA
  Simple & Easy-to-use python modules to perform Quick Exploratory Data Analysis for any structured dataset!
  ☆104Updated 2 years ago
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆341Updated 10 months ago
• AutoViML / pandas_dq
  Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.
  ☆132Updated last year