Alternatives and similar repositories for GBM-perf:

Users that are interested in GBM-perf are comparing it to the libraries listed below

• WinVector / pyvtreat
  vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…
  ☆121Updated last month
• AppliedDataSciencePartners / xgboostExplainer
  An R package that makes xgboost models fully interpretable
  ☆254Updated 6 years ago
• Laurae2 / Laurae
  Advanced High Performance Data Science Toolbox for R by Laurae
  ☆204Updated 7 years ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆184Updated 6 years ago
• dask / dask-xgboost
  ☆162Updated 3 years ago
• RGF-team / rgf
  Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…
  ☆380Updated 3 years ago
• ja-thomas / autoxgboost
  autoxgboost - Automatic tuning and fitting of xgboost
  ☆122Updated 3 years ago
• dselivanov / rsparse
  Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
  ☆173Updated this week
• jmcarpenter2 / parfit
  A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
  ☆199Updated last year
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆42Updated last year
• EFavDB / linselect
  ☆89Updated 6 years ago
• WinVector / vtreat
  vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…
  ☆285Updated last month
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆106Updated 6 years ago
• Nth-iteration-labs / streamingbandit
  Python application to setup and run streaming (contextual) bandit experiments.
  ☆80Updated last year
• tmadl / sklearn-random-rotation-ensembles
  Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)
  ☆43Updated 8 years ago
• limexp / xgbfir
  XGBoost Feature Interactions Reshaped
  ☆426Updated 7 years ago
• arogozhnikov / infiniteboost
  InfiniteBoost: building infinite ensembles with gradient descent
  ☆184Updated 6 years ago
• ellisp / forecastxgb-r-package
  An R package for time series models and forecasts with xgboost compatible with {forecast} S3 classes
  ☆140Updated 7 years ago
• earowang / hts
  Hierarchical and Grouped Time Series
  ☆111Updated last month
• ben519 / mltools
  Exploratory and diagnostic machine learning tools for R
  ☆72Updated 3 years ago
• Azure / fast_retraining
  Show how to perform fast retraining with LightGBM in different business cases
  ☆54Updated 5 years ago
• Far0n / xgbfi
  XGBoost Feature Interactions & Importance
  ☆498Updated 7 years ago
• scikit-learn-contrib / polylearn
  A library for factorization machines and polynomial networks for classification and regression in Python.
  ☆245Updated 4 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆149Updated last year
• jeongyoonlee / data-science-process-management
  Resources for Data Science Process management
  ☆204Updated 5 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…
  ☆30Updated 6 years ago
• dselivanov / FTRL
  R/Rcpp implementation of the 'Follow-the-Regularized-Leader' algorithm
  ☆49Updated 6 years ago
• bamine / Kaggle-stuff
  Just some of my kaggle scripts
  ☆88Updated 9 years ago
• springcoil / probabilisticprogrammingprimer
  ☆90Updated 4 years ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆98Updated 7 years ago