Alternatives and similar repositories for cinnamon

Users that are interested in cinnamon 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
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆107Updated 2 years ago
• 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
• MAIF / eurybia
  ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation
  ☆211Updated 8 months ago
• 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
• supsi-dacd-isaac / mbtr
  Multivariate Boosted TRee
  ☆63Updated 2 years ago
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆164Updated this week
• rxavier / poniard
  Streamline scikit-learn model comparison.
  ☆143Updated 2 years ago
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆66Updated last year
• feedzai / fairgbm
  Train Gradient Boosting models that are both high-performance *and* Fair!
  ☆105Updated last year
• awslabs / amazon-denseclus
  Clustering for mixed-type data
  ☆99Updated 11 months ago
• ianozsvald / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆84Updated last year
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆155Updated last year
• decile-team / spear
  SPEAR: Programmatically label and build training data quickly.
  ☆107Updated last year
• IFCA-Advanced-Computing / frouros
  Frouros: an open-source Python library for drift detection in machine learning systems.
  ☆222Updated last month
• navefr / ExKMC
  Expanding Explainable K-Means Clustering
  ☆96Updated 2 years ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 years ago
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆118Updated 2 years ago
• RianneSchouten / pyampute
  Missing data amputation and exploration functions for Python
  ☆71Updated 2 years ago
• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆57Updated last year
• cpa-analytics / embedding-encoder
  Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
  ☆41Updated last year
• koaning / scikit-fairness
  this repo might get accepted
  ☆28Updated 4 years ago
• oracle / macest
  Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores
  ☆100Updated 2 months ago
• carbonfact / icanexplain
  📊 Explain why metrics change by unpacking them
  ☆39Updated this week
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆66Updated last year
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 3 years ago
• MaxHalford / naked
  The simplest way to deploy a machine learning model
  ☆23Updated 2 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆80Updated 3 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• fugue-project / tune
  An abstraction layer for parameter tuning
  ☆35Updated 10 months ago