Alternatives and similar repositories for river-extra

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

• MaxHalford / starboost
  Gradient boosting on steroids
  ☆28Updated last year
• w4k2 / stream-learn
  The stream-learn is an open-source Python library for difficult data stream analysis.
  ☆63Updated last month
• raphaelsty / abayes
  Autoregressive Bayesian linear model
  ☆21Updated 4 years ago
• XAI-ANITI / ethik
  A toolbox for fair and explainable machine learning
  ☆55Updated last year
• raphaelsty / intermarche
  4th place solution to datafactory challenge by Intermarché.
  ☆12Updated 4 years ago
• MaxHalford / myriade
  ✨🌲 Hierarchical extreme multiclass and multi-label classification.
  ☆17Updated 2 years ago
• MaxHalford / tartine
  🍞 Manipulate dynamic spreadsheets with arbitrary layouts using Python
  ☆11Updated 3 years ago
• MaxHalford / naked
  The simplest way to deploy a machine learning model
  ☆23Updated 2 years ago
• koaning / scikit-fairness
  this repo might get accepted
  ☆28Updated 4 years ago
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 2 years ago
• Hongyuy / sbrl
  repository for R library "sbrlmod"
  ☆25Updated last year
• FlorianWilhelm / lda4rec
  🧮 Extended Latent Dirichlet Allocation for Collaborative Filtering in Recommender Systems.
  ☆42Updated 3 years ago
• EvgeniDubov / hellinger-distance-criterion
  Random Forest model using Hellinger Distance as split criterion
  ☆33Updated 2 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 2 years ago
• pcerda / string_categorical_encoders
  Scripts for paper "Encoding high-cardinality string categorical variables"
  ☆24Updated 5 years ago
• pcerda / ecml-pkdd-2018
  Scripts for ECML PKDD 2018 article: Similarity encoding for learning with dirty categorical variables
  ☆11Updated 7 years ago
• supsi-dacd-isaac / mbtr
  Multivariate Boosted TRee
  ☆63Updated 2 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 3 years ago
• amore-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆99Updated 10 months ago
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆42Updated 2 years ago
• numeristical / structureboost
  Gradient boosting using categorical structure
  ☆26Updated 2 months ago
• myaooo / pysbrl
  Python Interface of the Scalable Bayesian Rule Lists
  ☆20Updated 5 years ago
• scikit-multiflow / streaming-datasets
  A collection of data sets for stream learning.
  ☆34Updated 5 years ago
• carbonfact / icanexplain
  📊 Explain why metrics change by unpacking them
  ☆39Updated this week
• ralphhaygood / sklearn-gbmi
  scikit-learn gradient-boosting-model interactions
  ☆25Updated 2 years ago
• scikit-mine / scikit-mine
  scikit-mine : pattern mining in Python
  ☆73Updated 2 years ago
• AdilZouitine / pyFeel
  Python package for emotion analysis in French
  ☆15Updated 4 years ago
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆36Updated 4 years ago
• koaning / scikit-partial
  Pipeline components that support partial_fit.
  ☆46Updated 11 months ago
• aromain / intermarche_challenge
  [Intemarché] Sales forecasting challenge
  ☆11Updated 4 years ago