Alternatives and similar repositories for river-extra

Users that are interested in river-extra are comparing it to the libraries listed below

• XAI-ANITI / ethik
  A toolbox for fair and explainable machine learning
  ☆55Updated last year
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆134Updated last month
• w4k2 / stream-learn
  The stream-learn is an open-source Python library for difficult data stream analysis.
  ☆64Updated last month
• MaxHalford / myriade
  ✨🌲 Hierarchical extreme multiclass and multi-label classification.
  ☆18Updated 2 years ago
• MaxHalford / naked
  The simplest way to deploy a machine learning model
  ☆23Updated 2 years ago
• dataiku-research / cardinal
  A practical Active Learning python package with a strong focus on experiments.
  ☆51Updated 2 years ago
• sherbold / autorank
  ☆84Updated 3 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
• mmschlk / iXAI
  Fast and incremental explanations for online machine learning models. Works best with the river framework.
  ☆55Updated 9 months ago
• raphaelsty / abayes
  Autoregressive Bayesian linear model
  ☆21Updated 5 years ago
• carbonfact / icanexplain
  📊 Explain why metrics change by unpacking them
  ☆40Updated 3 months ago
• MaxHalford / starboost
  Gradient boosting on steroids
  ☆28Updated last year
• RianneSchouten / pyampute
  Missing data amputation and exploration functions for Python
  ☆72Updated 2 years ago
• scikit-mine / scikit-mine
  scikit-mine : pattern mining in Python
  ☆73Updated 2 years ago
• koaning / scikit-fairness
  this repo might get accepted
  ☆28Updated 4 years ago
• corels / pycorels
  Public home of pycorels, the python binding to CORELS
  ☆80Updated 5 years ago
• amore-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆100Updated last year
• DataDome / sliceline
  ✂️ Fast slice finding for Machine Learning model debugging.
  ☆95Updated 2 weeks ago
• feedzai / fairgbm
  Train Gradient Boosting models that are both high-performance *and* Fair!
  ☆105Updated 2 months ago
• koaning / scikit-partial
  Pipeline components that support partial_fit.
  ☆46Updated last year
• online-ml / beaver
  🦫 MLOps for (online) machine learning
  ☆87Updated 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…
  ☆102Updated 3 years ago
• ml-tue / automated-string-cleaning
  Repository for my master thesis on automated string handling
  ☆16Updated 4 years ago
• supsi-dacd-isaac / mbtr
  Multivariate Boosted TRee
  ☆63Updated 3 years ago
• steverab / failing-loudly
  Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…
  ☆107Updated last year
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆167Updated last week
• sdv-dev / RDT
  A library of Reversible Data Transforms
  ☆128Updated this week
• xiyanghu / OSDT
  Optimal Sparse Decision Trees
  ☆105Updated 2 years ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆156Updated last year
• flemmerich / pysubgroup
  ☆68Updated 11 months ago