Alternatives and similar repositories for spark-dirty-cat

Users that are interested in spark-dirty-cat are comparing it to the libraries listed below

• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 3 years ago
• FlorianWilhelm / lda4rec
  🧮 Extended Latent Dirichlet Allocation for Collaborative Filtering in Recommender Systems.
  ☆42Updated 3 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 3 years ago
• awslabs / amazon-denseclus
  Clustering for mixed-type data
  ☆99Updated last year
• koaning / scikit-partial
  Pipeline components that support partial_fit.
  ☆46Updated last year
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 2 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆43Updated 2 years ago
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated 2 years ago
• ericmjl / causality
  In which I play with the ideas surrounding causality
  ☆53Updated 3 years ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 4 years ago
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆106Updated 2 years ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 3 years ago
• WinVector / pyvtreat
  vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…
  ☆122Updated 7 months ago
• guillermo-navas-palencia / clogistic
  Logistic regression with bound and linear constraints. L1, L2 and Elastic-Net regularization.
  ☆33Updated 2 years ago
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 4 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆152Updated 4 months ago
• AidanCooper / shap-clustering
  How to use SHAP values for better cluster analysis
  ☆59Updated 3 years ago
• RianneSchouten / pyampute
  Missing data amputation and exploration functions for Python
  ☆73Updated 2 years ago
• tlentali / leab
  📈🔍 Lets Python do AB testing analysis.
  ☆78Updated 4 months 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
• Affirm / shparkley
  Spark implementation of computing Shapley Values using monte-carlo approximation
  ☆76Updated 2 years ago
• Laurae2 / CategoricalAnalysis
  Analysis of Categorical Encodings for dense Decision Trees
  ☆41Updated 8 years ago
• cpa-analytics / embedding-encoder
  Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
  ☆41Updated 2 years ago
• dask / dask-lightgbm
  ☆78Updated 4 years ago
• ColtAllen / btyd
  Buy Till You Die and Customer Lifetime Value statistical models in Python.
  ☆117Updated last year
• lmcinnes / enstop
  Ensemble topic modelling with pLSA
  ☆115Updated 3 years ago
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆66Updated last year
• Ibotta / pure-predict
  Machine learning prediction in pure Python
  ☆86Updated 4 years ago
• koaning / scikit-fairness
  this repo might get accepted
  ☆28Updated 4 years ago