Alternatives and similar repositories for Effective-Uplift-Modeling

Users that are interested in Effective-Uplift-Modeling are comparing it to the libraries listed below

• raz1470 / causal_ai
  This project introduces Causal AI and how it can drive business value.
  ☆47Updated 9 months ago
• rabia174 / ConformaSight
  Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.
  ☆26Updated 4 months ago
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆111Updated last month
• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆30Updated last month
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆67Updated last month
• smazzanti / tds_features_important_doesnt_mean_good
  ☆32Updated last year
• smazzanti / valicast
  Validation for forecasts
  ☆18Updated 2 years ago
• Carl-McBride-Ellis / TOBoML
  The Orange Book of Machine Learning
  ☆43Updated 3 months ago
• MartinWeigl / pycaleva
  A framework for calibration measurement of binary probabilistic models
  ☆28Updated last year
• donlapark / coverforest
  A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
  ☆44Updated 2 months ago
• xqnwang / conformalForecast
  Methods and tools for multistep-ahead time series conformal prediction.
  ☆37Updated 3 months ago
• causalens / cai-causal-graph
  A Causal AI package for causal graphs.
  ☆60Updated 2 months ago
• Nixtla / utilsforecast
  Helper functions to plot, evaluate, preprocess and engineer features for forecasting
  ☆72Updated last week
• mavillan / tsforest
  Time series forecasting with tree ensembles
  ☆13Updated 3 years ago
• sktime / sktime-tutorial-pydata-global-2022
  sktime - python toolbox for time series: pipelines and transformers
  ☆24Updated 2 years ago
• ran-xie / boosted-conformal
  ☆39Updated 5 months ago
• valeman / Mastering-Modern-Time-Series-Forecasting-The-Complete-Guide
  The repo for Mastering Modern Time Series Forecasting : The Complete Guide to Statistical, Machine Learning & Deep Learning Models in Pyt…
  ☆25Updated last week
• predict-idlab / cct-cmc
  Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner
  ☆16Updated last month
• PJalgotrader / Deep_forecasting-USU
  GitHub repository for deep forecasting courses owned and maintained by prof. Jahangiry
  ☆30Updated 2 weeks ago
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆27Updated 2 years ago
• slavakx / bayesian_mmm
  Code for the article Modeling Marketing Mix using PyMC3
  ☆27Updated 3 years ago
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆165Updated 9 months ago
• marcopeix / AppliedTimeSeriesForecastingInPython
  Repository with data, starter notebooks, and solution notebooks for my course Applied Time Series Forecasting in Python
  ☆51Updated 5 months ago
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆30Updated 2 weeks ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆232Updated this week
• ostojanovic / causalML
  ☆33Updated 9 months ago
• tblume1992 / TSUtilities
  Various utilities for time series forecasting
  ☆10Updated 2 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆50Updated 3 years ago
• Valdecy / pyInterDemand
  A python Library for Intermittent Demand Methods: Croston, SBA, SBJ, TSB, HES, LES and SES
  ☆36Updated last year
• jrodenberg0 / vn1_fcst
  This repo houses my VN1 Forecasting Notebook for Phase One.
  ☆18Updated 7 months ago