Alternatives and similar repositories for icanexplain

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

• Blue-Yonder-OSS / cyclic-boosting
  implementation of Cyclic Boosting machine learning algorithms
  ☆94Updated last year
• MaxHalford / starboost
  Gradient boosting on steroids
  ☆28Updated last year
• microsoft / CBM
  Cyclic Boosting Machines - an explainable supervised machine learning algorithm
  ☆62Updated last year
• raphaelsty / abayes
  Autoregressive Bayesian linear model
  ☆21Updated 5 years ago
• FBruzzesi / sklearn-smithy
  Toolkit to forge scikit-learn compatible estimators
  ☆19Updated last week
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆157Updated 2 years ago
• tlentali / leab
  📈🔍 Lets Python do AB testing analysis.
  ☆78Updated 9 months ago
• lorentzenchr / model-diagnostics
  Tools for diagnostics and assessment of (machine learning) models
  ☆39Updated 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 3 years ago
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆172Updated 3 weeks ago
• FBruzzesi / timebasedcv
  Time based splits for cross validation
  ☆39Updated last week
• online-ml / light-river
  WIP
  ☆36Updated last year
• feedzai / fairgbm
  Train Gradient Boosting models that are both high-performance *and* Fair!
  ☆107Updated last week
• ColtAllen / btyd
  Buy Till You Die and Customer Lifetime Value statistical models in Python.
  ☆118Updated last year
• koaning / scikit-churn
  Exploring some issues related to churn
  ☆17Updated last year
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆74Updated this week
• MaxHalford / naked
  The simplest way to deploy a machine learning model
  ☆24Updated 3 years ago
• noklam / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆61Updated 2 years ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆226Updated 2 years ago
• felipeangelimvieira / prophetverse
  A multiverse of Prophet models for timeseries
  ☆72Updated last week
• koaning / scikit-playtime
  Rethinking machine learning pipelines
  ☆34Updated 4 months ago
• williambdean / latent-calendar
  Analyze and model weekly calendar distributions using latent components
  ☆19Updated this week
• XAI-ANITI / ethik
  A toolbox for fair and explainable machine learning
  ☆55Updated last year
• RianneSchouten / pyampute
  Missing data amputation and exploration functions for Python
  ☆72Updated 3 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
  ☆76Updated 3 years ago
• koaning / scikit-mdn
  A mixture density network, by PyTorch, for scikit-learn
  ☆24Updated last year
• probabl-ai / sklearn-ragger-duck
  A proof-of-concept for a RAG to query the scikit-learn documentation
  ☆29Updated 5 months ago
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆113Updated 4 months ago
• ianozsvald / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆86Updated 2 years ago
• koaning / scikit-partial
  Pipeline components that support partial_fit.
  ☆46Updated last year