Alternatives and similar repositories for spark-xgboost

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

• psarka / uplift
  ☆34Updated 6 years ago
• SoftwareAG / nyoka
  Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).
  ☆187Updated last year
• giantcroc / featuretoolsOnSpark
  A simplified version of featuretools for Spark
  ☆31Updated 6 years ago
• wayfair / pylift
  Uplift modeling package.
  ☆374Updated 2 years ago
• rsyi / pylift
  Uplift modeling and evaluation library. Actively maintained pypi version.
  ☆75Updated last year
• yangji9181 / ClusChurn
  A prototype implementation of ClusChurn based on PyTorch.
  ☆52Updated 7 years ago
• giladkatz / ExploreKit
  ☆74Updated 7 years ago
• jpmml / jpmml-xgboost
  Java library and command-line application for converting XGBoost models to PMML
  ☆131Updated last month
• Ibotta / sk-dist
  Distributed scikit-learn meta-estimators in PySpark
  ☆286Updated 4 months ago
• jpmml / jpmml-lightgbm
  Java library and command-line application for converting LightGBM models to PMML
  ☆178Updated 5 months ago
• anathan90 / SparkSMOTE
  The Synthetic Minority Oversampling Technique (SMOTE) implemented in Spark.
  ☆48Updated 7 years ago
• google / lifetime_value
  ☆360Updated last year
• titicaca / spark-iforest
  Isolation Forest on Spark
  ☆229Updated 11 months ago
• hlin117 / mdlp-discretization
  An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad
  ☆104Updated 2 years ago
• totoruo / FfmEncoder
  convert DataFrame to libffm data format in parallel
  ☆30Updated 7 years ago
• mwburke / population-stability-index
  Python implementation of the population stability index (PSI)
  ☆142Updated last year
• SpongebBob / tabular_automl_NNI
  PAKDD AutoML challenge 2nd Feature Engineering Part
  ☆71Updated 4 years ago
• linkedin / isolation-forest
  A distributed Spark/Scala implementation of the isolation forest algorithm for unsupervised outlier detection, featuring support for scal…
  ☆248Updated 3 weeks ago
• bigdong89 / xgboostExtension
  xgboost Extension for Easy Ranking & TreeFeature
  ☆126Updated 5 years ago
• wxhC3SC6OPm8M1HXboMy / spark-mrmr-feature-selection
  Machine learning enhancements to Spark MlLib
  ☆20Updated 10 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
• jpmml / pyspark2pmml
  Python library for converting Apache Spark ML pipelines to PMML
  ☆98Updated last month
• gabrielspmoreira / kaggle_outbrain_click_prediction_google_cloud_ml_engine
  A POC of Google's Wide & Deep Learning models deployed on Google Cloud ML Engine for Kaggle's Outbrain Click Competition
  ☆36Updated 7 years ago
• zhengruifeng / SparkGBM
  Spark-based GBM
  ☆56Updated 5 years ago
• joblib / joblib-spark
  Joblib Apache Spark Backend
  ☆249Updated 5 months ago
• zygmuntz / evaluating-recommenders
  Compute and plot NDCG for a recommender system
  ☆95Updated 8 years ago
• ScienceKot / kydavra
  A python package for feature selection in python
  ☆51Updated 4 years ago
• rk2900 / deep-conv-attr
  An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"
  ☆62Updated 6 years ago
• Bergvca / pyspark_dist_explore
  Data Exploration in PySpark made easy - Pyspark_dist_explore provides methods to get fast insights in your Spark DataFrames.
  ☆102Updated 6 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