Alternatives and similar repositories for sliceline

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

• yeounoh / slicefinder
  automatic data slicing
  ☆34Updated 3 years ago
• koaning / scikit-fairness
  this repo might get accepted
  ☆28Updated 4 years ago
• carbonfact / icanexplain
  📊 Explain why metrics change by unpacking them
  ☆38Updated this week
• online-ml / river-extra
  Extra functionalities for river
  ☆14Updated last year
• 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
• amazon-science / creating-and-correcting-novel-ml-model-errors
  ☆30Updated 3 years ago
• IFCA-Advanced-Computing / frouros
  Frouros: an open-source Python library for drift detection in machine learning systems.
  ☆219Updated 2 weeks ago
• fastforwardlabs / concept-drift
  This repo accompanies the FF22 research cycle focused on unsupervised methods for detecting concept drift
  ☆30Updated 3 years ago
• rxavier / poniard
  Streamline scikit-learn model comparison.
  ☆145Updated 2 years ago
• feedzai / fairgbm
  Train Gradient Boosting models that are both high-performance *and* Fair!
  ☆105Updated 11 months ago
• XAI-ANITI / ethik
  A toolbox for fair and explainable machine learning
  ☆55Updated 11 months ago
• dataiku-research / cardinal
  A practical Active Learning python package with a strong focus on experiments.
  ☆51Updated 2 years ago
• MaxHalford / starboost
  Gradient boosting on steroids
  ☆28Updated 11 months ago
• jacopotagliabue / dag-card-is-the-new-model-card
  Template-based generation of DAG cards from Metaflow classes, inspired by Google cards for machine learning models.
  ☆30Updated 3 years ago
• koaning / scikit-partial
  Pipeline components that support partial_fit.
  ☆46Updated 10 months ago
• MaxHalford / naked
  The simplest way to deploy a machine learning model
  ☆23Updated 2 years ago
• Yard1 / ray-skorch
  Distributed skorch on Ray Train
  ☆57Updated 2 years ago
• cpa-analytics / embedding-encoder
  Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
  ☆41Updated last year
• soda-inria / ken_embeddings
  KEN: Relational Data Embeddings
  ☆29Updated last year
• 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…
  ☆101Updated 2 years ago
• schelterlabs / jenga
  Jenga is an experimentation library that allows data science practititioners and researchers to study the effect of common data corruptio…
  ☆40Updated last year
• Affirm / shparkley
  Spark implementation of computing Shapley Values using monte-carlo approximation
  ☆74Updated 2 years ago
• ml-tue / automated-string-cleaning
  Repository for my master thesis on automated string handling
  ☆16Updated 3 years ago
• ilias-ant / adversarial-validation
  A tiny framework to perform adversarial validation of your training and test data.
  ☆21Updated 4 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
• pcerda / string_categorical_encoders
  Scripts for paper "Encoding high-cardinality string categorical variables"
  ☆24Updated 5 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 3 years ago
• linkedin / TE2Rules
  Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
  ☆55Updated last year
• rakutentech / spark-dirty-cat
  Similarity encoding of dirty categorical variables (strings)
  ☆20Updated 6 years ago
• TutteInstitute / vectorizers
  Vectorizers for a range of different data types
  ☆101Updated 3 months ago