Alternatives and similar repositories for spark-gbtlr

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

• wzhe06 / SparkCTR

  View on GitHub
  CTR prediction model based on spark(LR, GBDT, DNN)
  ☆925Mar 6, 2020Updated 5 years ago
• hibayesian / spark-fm

  View on GitHub
  A parallel implementation of factorization machines based on Spark
  ☆75Jun 28, 2020Updated 5 years ago
• zhengruifeng / spark-libFM

  View on GitHub
  An implement of Factorization Machines (LibFM)
  ☆250Aug 13, 2018Updated 7 years ago
• neal668 / GBDT-FM

  View on GitHub
  An implementation of GBDT+FM
  ☆24Feb 23, 2017Updated 8 years ago
• neal668 / LightGBM-GBDT-LR

  View on GitHub
  a python code of applying GBDT+LR for CTR prediction
  ☆337Jul 19, 2018Updated 7 years ago
• VinceShieh / spark-ffm

  View on GitHub
  FFM (Field-Awared Factorization Machine) on Spark
  ☆106Jul 30, 2018Updated 7 years ago
• ZiYu0427 / spark

  View on GitHub
  ☆24Mar 11, 2016Updated 9 years ago
• andyxzq / gbdt_lr_in_recsys

  View on GitHub
  Using gbdt+lr in recommend system and comparing the auc of lr, gbdt, gbdt+lr.
  ☆24Jul 15, 2017Updated 8 years ago
• wuxinping1992 / cf_gbdt_lr

  View on GitHub
  简单的实现推荐系统的召回模型和排序模型，其中召回模型使用协同过滤算法，排序模型使用gbdt+lr算法
  ☆58Jan 12, 2019Updated 7 years ago
• msjbear / jdata-spark

  View on GitHub
  JData算法大赛
  ☆31Aug 16, 2017Updated 8 years ago
• lyg5623 / lightgbm_predict4j

  View on GitHub
  A java implementation of LightGBM predicting part
  ☆86Dec 5, 2023Updated 2 years ago
• Apress / pro-spark-streaming

  View on GitHub
  Source code for 'Pro Spark Streaming' by Zubair Nabi
  ☆10Mar 27, 2017Updated 8 years ago
• blebreton / spark-FM-parallelSGD

  View on GitHub
  Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)
  ☆230May 9, 2016Updated 9 years ago
• titicaca / spark-iforest

  View on GitHub
  Isolation Forest on Spark
  ☆232Oct 15, 2024Updated last year
• ChenglongChen / tensorflow-DeepFM

  View on GitHub
  Tensorflow implementation of DeepFM for CTR prediction.
  ☆2,065Jun 10, 2018Updated 7 years ago
• chengstone / kaggle_criteo_ctr_challenge-

  View on GitHub
  This is a kaggle challenge project called Display Advertising Challenge by CriteoLabs at 2014.这是2014年由CriteoLabs在kaggle上发起的广告点击率预估挑战项目。
  ☆361Mar 31, 2019Updated 6 years ago
• CastellanZhang / alphaFM

  View on GitHub
  Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.
  ☆905Jun 22, 2021Updated 4 years ago
• jpmml / jpmml-sparkml

  View on GitHub
  Java library and command-line application for converting Apache Spark ML pipelines to PMML
  ☆270Feb 6, 2026Updated last week
• cnkuangshi / LightCTR

  View on GitHub
  Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosop…
  ☆672Jun 17, 2019Updated 6 years ago
• Angel-ML / sona

  View on GitHub
  Spark On Angel, arming Spark with a powerful Parameter Server, which enable Spark to train very big models
  ☆83Jan 2, 2023Updated 3 years ago
• TrueCar / mleap-demo

  View on GitHub
  MLeap demo repository for use with MLeap blog posts
  ☆11Jul 13, 2016Updated 9 years ago
• wangru8080 / gbdt-lr

  View on GitHub
  gbdt+lr
  ☆161Mar 15, 2019Updated 6 years ago
• jpmml / pyspark2pmml

  View on GitHub
  Python library for converting Apache Spark ML pipelines to PMML
  ☆99Feb 6, 2026Updated last week
• ivanliu1989 / AVAZU-CTR-Prediction

  View on GitHub
  In online advertising, click-through rate (CTR) is a very important metric for evaluating ad performance. As a result, click prediction s…
  ☆31Oct 26, 2025Updated 3 months ago
• aksnzhy / xlearn

  View on GitHub
  High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and …
  ☆3,097Aug 28, 2023Updated 2 years ago
• chenlongzhen / wide-and-deep

  View on GitHub
  ☆18Jan 19, 2018Updated 8 years ago
• shenweichen / DeepMatch

  View on GitHub
  A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can…
  ☆2,409Apr 26, 2025Updated 9 months ago
• Lapis-Hong / wide_deep

  View on GitHub
  Wide and Deep Learning for CTR Prediction in tensorflow
  ☆292Aug 27, 2021Updated 4 years ago
• yujun001 / YouTube_DNN

  View on GitHub
  ☆15Apr 22, 2020Updated 5 years ago
• alipay / jpmml-sparkml-lightgbm

  View on GitHub
  JPMML-SparkML plugin for converting LightGBM-Spark models to PMML
  ☆43Oct 23, 2021Updated 4 years ago
• ycjuan / kaggle-2014-criteo

  View on GitHub
  ☆1,259Aug 16, 2024Updated last year
• datawlb / code

  View on GitHub
  code exercise: dbscan(ballTree improve) | ctr(ftrl) | text classification(bayes..) | kmeans | general LR |..
  ☆26Jan 21, 2016Updated 10 years ago
• yongqyu / DIEN-tf2

  View on GitHub
  Deep Interest Network for Click-Through Rate Prediction / Deep Interest Evolution Network for Click-Through Rate Prediction
  ☆81Jun 22, 2020Updated 5 years ago
• endymecy / spark-config-and-tuning

  View on GitHub
  spark性能调优总结 spark config and tuning
  ☆119Mar 9, 2018Updated 7 years ago
• endymecy / spark-ml-source-analysis

  View on GitHub
  spark ml 算法原理剖析以及具体的源码实现分析
  ☆1,963Mar 25, 2019Updated 6 years ago
• anathan90 / SparkSMOTE

  View on GitHub
  The Synthetic Minority Oversampling Technique (SMOTE) implemented in Spark.
  ☆48Jul 4, 2018Updated 7 years ago
• nosuggest / deep_learning

  View on GitHub
  基础的深度学习实验研究结果汇总笔记
  ☆509May 22, 2023Updated 2 years ago
• shenweichen / DeepCTR

  View on GitHub
  Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
  ☆8,002Aug 9, 2024Updated last year
• zhangjuefei / mentat

  View on GitHub
  A machine learning library build on python, numpy and pandas.
  ☆23Jun 7, 2018Updated 7 years ago