Alternatives and similar repositories for plackett-luce

Users that are interested in plackett-luce are comparing it to the libraries listed below

• tcassou / babtest
  Python package for Bayesian Tests / AB Testing
  ☆39Updated 5 years ago
• civisanalytics / python-glmnet
  A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.
  ☆269Updated last year
• scikit-garden / scikit-garden
  A garden for scikit-learn compatible trees
  ☆288Updated last year
• spotify-research / tdsurv
  Code for the paper "Temporally-Consistent Survival Analysis".
  ☆26Updated 3 years ago
• cbellei / abyes
  A Python package for Bayesian A/B Testing
  ☆61Updated 2 years ago
• esafak / mca
  Multiple correspondence analysis
  ☆181Updated last month
• roycoding / slots
  A multi-armed bandit library for Python
  ☆82Updated 5 years ago
• lucasmaystre / choix
  Inference algorithms for models based on Luce's choice axiom
  ☆189Updated 4 months ago
• parsing-science / pymc3_models
  ☆159Updated 3 years ago
• civisanalytics / civisml-extensions
  scikit-learn-compatible estimators from Civis Analytics
  ☆59Updated 4 years ago
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆244Updated 5 years ago
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆327Updated 5 years ago
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆290Updated 8 months ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆123Updated 3 years ago
• fabianp / mord
  Ordinal regression algorithms
  ☆271Updated 2 years ago
• partofthething / ace
  Python package for performing the Alternating Conditional Expectation (ACE) regression
  ☆72Updated 2 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆153Updated 8 months ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 4 years ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 7 years ago
• madrury / py-glm
  Generalized Linear Models in Sklearn Style
  ☆131Updated 5 years ago
• zalando / expan
  Open-source Python library for statistical analysis of randomised control trials (A/B tests)
  ☆342Updated 2 years ago
• kshedden / Statsmodels-MixedLM
  Teaching materials for Python MixedLM (mixed linear models)
  ☆48Updated 8 years ago
• citiususc / stac
  Statistical Tests for Algorithms Comparison (STAC) is a new platform for statistical analysis to verify the results obtained from computa…
  ☆34Updated 5 years ago
• fonnesbeck / multilevel_modeling
  Tutorial on multilevel modeling, using Gelman radon example
  ☆58Updated 10 years ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆189Updated 7 years ago
• lucasmaystre / kickscore
  Pairwise comparisons with flexible time-dynamics.
  ☆61Updated 4 months ago
• better / convoys
  Implementation of statistical models to analyze time lagged conversions
  ☆263Updated last year
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆148Updated 2 years ago
• argmaxml / conjugate_prior
  Implementation of the conjugate prior table for Bayesian Statistics
  ☆52Updated last year
• AdiVarma27 / pyAB
  Python package for Bayesian & Frequentist A/B Testing
  ☆12Updated 2 years ago