Alternatives and similar repositories for xgboost_explainer

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

• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 4 years ago
• fukatani / stacked_generalization
  Library for machine learning stacking generalization.
  ☆119Updated 6 years ago
• tgsmith61591 / skutil
  NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-lear…
  ☆31Updated 7 years ago
• zygmuntz / adversarial-validation
  Creating a better validation set when test examples differ from training examples
  ☆102Updated 9 years ago
• mpearmain / BayesBoost
  Bayesian Optimization using xgboost and sklearn API
  ☆225Updated 9 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆153Updated 9 months ago
• Densur / PyWoE
  ☆60Updated 6 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆123Updated 3 years ago
• civisanalytics / civisml-extensions
  scikit-learn-compatible estimators from Civis Analytics
  ☆59Updated 4 years ago
• MLWave / RGF-sklearn
  Scikit-learn API toy wrapper for Regularized Greedy Forests
  ☆44Updated 9 years ago
• davidthaler / Walmart_competition_code
  This repo holds the code for the 1st place entry in the Walmart 2014 sales forecasting competition hosted on Kaggle.
  ☆144Updated 8 years ago
• jmcarpenter2 / parfit
  A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
  ☆199Updated last year
• lacava / few
  a feature engineering wrapper for sklearn
  ☆52Updated 5 years ago
• DavisTownsend / magi
  high level wrapper for parallel univariate time series forecasting
  ☆17Updated 7 years ago
• albahnsen / CostSensitiveClassification
  CostSensitiveClassification Library in Python
  ☆205Updated 5 years ago
• hlin117 / mdlp-discretization
  An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad
  ☆104Updated 2 years ago
• natbusa / deepcredit
  How to predict credit defaulting?
  ☆93Updated 6 years ago
• abhishekkrthakur / greedyFeatureSelection
  greedy feature selection based on ROC AUC
  ☆125Updated 11 years ago
• limexp / xgbfir
  XGBoost Feature Interactions Reshaped
  ☆433Updated 8 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 3 years ago
• daynebatten / keras-wtte-rnn
  Demo Weibull Time-to-event Recurrent Neural Network in Keras
  ☆223Updated 6 years ago
• XiaoxiaoWang87 / xgboost_mono_test
  ☆13Updated 9 years ago
• franck-durand / tsboost
  Time Series Forecasting Framework
  ☆41Updated 3 years ago
• bhimmetoglu / kaggle_101
  Some work on Kaggle data for fun
  ☆64Updated 8 years ago
• chasedehan / BoostARoota
  A fast xgboost feature selection algorithm
  ☆230Updated 4 years ago
• predict-idlab / GENESIM
  [DEPRECATED] An innovative technique that constructs an ensemble of decision trees and converts this ensemble into a single, interpretab…
  ☆79Updated 5 years ago
• scikit-learn-contrib / polylearn
  A library for factorization machines and polynomial networks for classification and regression in Python.
  ☆245Updated 5 years ago
• BigDataRepublic / bdr-analytics-py
  Common data science and data engineering utilities to help us perform analytics. Our toolbox for data scientists, licensed under Apache-2…
  ☆30Updated 7 years ago
• dustinstansbury / stacked_generalization
  Python implementation of stacked generalization classifier. Plays nice with sklearn.
  ☆71Updated 9 years ago
• algobeans / Time-Series-Forecasting
  Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM
  ☆47Updated 8 years ago