Alternatives and similar repositories for spark-xgboost

Users that are interested in spark-xgboost are comparing it to the libraries listed below

• giantcroc / featuretoolsOnSpark
  A simplified version of featuretools for Spark
  ☆31Updated 6 years ago
• SoftwareAG / nyoka
  Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).
  ☆185Updated last year
• psarka / uplift
  ☆34Updated 6 years ago
• wayfair / pylift
  Uplift modeling package.
  ☆374Updated 2 years ago
• joblib / joblib-spark
  Joblib Apache Spark Backend
  ☆249Updated 4 months ago
• titicaca / spark-iforest
  Isolation Forest on Spark
  ☆229Updated 9 months ago
• rsyi / pylift
  Uplift modeling and evaluation library. Actively maintained pypi version.
  ☆75Updated last year
• anathan90 / SparkSMOTE
  The Synthetic Minority Oversampling Technique (SMOTE) implemented in Spark.
  ☆48Updated 7 years ago
• Ibotta / sk-dist
  Distributed scikit-learn meta-estimators in PySpark
  ☆285Updated 3 months ago
• yangji9181 / ClusChurn
  A prototype implementation of ClusChurn based on PyTorch.
  ☆52Updated 7 years ago
• jpmml / jpmml-lightgbm
  Java library and command-line application for converting LightGBM models to PMML
  ☆175Updated 3 months ago
• zygmuntz / evaluating-recommenders
  Compute and plot NDCG for a recommender system
  ☆95Updated 7 years ago
• jpmml / jpmml-xgboost
  Java library and command-line application for converting XGBoost models to PMML
  ☆129Updated 3 months ago
• bigdong89 / xgboostExtension
  xgboost Extension for Easy Ranking & TreeFeature
  ☆125Updated 5 years ago
• giladkatz / ExploreKit
  ☆74Updated 6 years ago
• google / lifetime_value
  ☆356Updated last year
• rk2900 / deep-conv-attr
  An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"
  ☆62Updated 6 years ago
• jpmml / pyspark2pmml
  Python library for converting Apache Spark ML pipelines to PMML
  ☆96Updated this week
• Bergvca / pyspark_dist_explore
  Data Exploration in PySpark made easy - Pyspark_dist_explore provides methods to get fast insights in your Spark DataFrames.
  ☆103Updated 5 years ago
• LinkedInAttic / scanns
  A scalable nearest neighbor search library in Apache Spark
  ☆262Updated 6 years ago
• etlundquist / rankfm
  Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
  ☆176Updated 11 months ago
• linkedin / isolation-forest
  A distributed Spark/Scala implementation of the isolation forest algorithm for unsupervised outlier detection, featuring support for scal…
  ☆248Updated last month
• PGuti / Uplift
  About uplift modeling
  ☆30Updated 8 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 2 years ago
• hlin117 / mdlp-discretization
  An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad
  ☆105Updated 2 years ago
• jstephenj14 / Monotonic-WOE-Binning-Algorithm
  Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …
  ☆117Updated 2 years ago
• totoruo / FfmEncoder
  convert DataFrame to libffm data format in parallel
  ☆30Updated 7 years ago
• ianchute / shapley-attribution-model-zhao-naive
  A Python implementation of "Shapley Value Methods for Attribution Modeling in Online Advertising" by Zhao, et al.
  ☆41Updated 5 years ago
• cemoody / simple_mf
  Simple but Flexible Recommendation Engine in PyTorch
  ☆133Updated 3 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