Alternatives and similar repositories for stacking

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

• HanXiaoyang / Feature_Engineering_and_XGBoost_Parameter_Tuning
  Examples of how to do feature engineering and Xgboost parameter tuning
  ☆47Updated 8 years ago
• fukatani / stacked_generalization
  Library for machine learning stacking generalization.
  ☆117Updated 6 years ago
• jrzaurin / LightGBM-with-Focal-Loss
  An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
  ☆253Updated 5 years ago
• LenzDu / Kaggle-Competition-Favorita
  5th place solution for Kaggle competition Favorita Grocery Sales Forecasting
  ☆259Updated 7 years ago
• jfpuget / Kaggle
  My solution to Web Traffic Predictions competition on Kaggle.
  ☆153Updated 6 years ago
• xiaozhouwang / kaggle-porto-seguro
  2nd Place Solution for Kaggle Porto Seguro's Safe Driver Prediction
  ☆155Updated 6 years ago
• kingfengji / mGBDT
  This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .
  ☆104Updated 6 years ago
• ndemir / stacking
  Template for Stacking (Stacked Generalization) Ensemble Method
  ☆37Updated 9 years ago
• duxuhao / Feature-Selection
  Features selector based on the self selected-algorithm, loss function and validation method
  ☆680Updated 6 years ago
• jhwjhw0123 / Imbalance-XGBoost
  XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
  ☆325Updated last year
• ArdalanM / pyLightGBM
  Python binding for Microsoft LightGBM
  ☆343Updated 6 years ago
• jfpuget / LibFM_in_Keras
  This notebook shows how to implement LibFM in Keras and how it was used in the Talking Data competition on Kaggle.
  ☆189Updated 7 years ago
• bigdong89 / xgboostExtension
  xgboost Extension for Easy Ranking & TreeFeature
  ☆125Updated 5 years ago
• antmachineintelligence / mtgbmcode
  mtgbmcode
  ☆172Updated 2 years ago
• Koziev / MNIST_Boosting
  Comparison of XGBoost, LightGBM and CatBoost on MNIST classification problem
  ☆40Updated 7 years ago
• plantsgo / Rental-Listing-Inquiries
  kaggle:Two Sigma Connect: Rental Listing Inquiries--top1
  ☆128Updated 4 years ago
• dustinstansbury / stacked_generalization
  Python implementation of stacked generalization classifier. Plays nice with sklearn.
  ☆71Updated 8 years ago
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆692Updated 10 months ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆858Updated last year
• phuijse / bagging_pu
  Simple sklearn based python implementation of Positive-Unlabeled (PU) classification using bagging based ensembles
  ☆93Updated 8 years ago
• ceshine / favorita_sales_forecasting
  Solution to Corporación Favorita Grocery Sales Forecasting Competition
  ☆28Updated 7 years ago
• limexp / xgbfir
  XGBoost Feature Interactions Reshaped
  ☆429Updated 7 years ago
• RGF-team / rgf
  Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…
  ☆381Updated 3 years ago
• keyunluo / python-ffm
  Python Wrapped LibFFM
  ☆66Updated 6 years ago
• CuteChibiko / TalkingData
  TalkingData AdTracking Fraud Detection Challenge
  ☆104Updated 7 years ago
• alexeygrigorev / outbrain-click-prediction-kaggle
  Solution to the Outbrain Click Prediction competition
  ☆148Updated 8 years ago
• zygmuntz / adversarial-validation
  Creating a better validation set when test examples differ from training examples
  ☆101Updated 9 years ago
• dataworkshop / xgboost
  Tutorial how to use xgboost
  ☆186Updated 9 years ago
• motefly / DeepGBM
  SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks
  ☆653Updated 10 months ago
• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆117Updated 7 years ago