Alternatives and similar repositories for fraud-detection-papers:

Users that are interested in fraud-detection-papers are comparing it to the libraries listed below

• csearch / risky-company-project
  ☆31Updated 7 years ago
• csearch / risky-algorithm-research
  ☆19Updated 7 years ago
• zixi-liu / Fraud-Detection-Papers
  Learning Fraud Detection from research papers and industry applications.
  ☆119Updated 4 months ago
• rgmining / fraudar
  A wrapper of FRAUDAR algorithm
  ☆67Updated last month
• Sotera / spark-distributed-louvain-modularity
  Spark / graphX implementation of the distributed louvain modularity algorithm
  ☆314Updated 4 years ago
• iqiyi / HMGNN
  ☆64Updated 4 years ago
• duboya / CTR-Prediction
  Sharing the CTR Prediction original paper and personal study notes
  ☆146Updated 5 years ago
• titicaca / spark-gbtlr
  Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark
  ☆88Updated 6 years ago
• safe-graph / UGFraud
  An Unsupervised Graph-based Toolbox for Fraud Detection
  ☆131Updated 3 years ago
• fgyeason / algorithm-and-risk-management
  风控、大数据、算法。
  ☆219Updated 3 years ago
• gaolinjie / awesome-recommender-systems
  A curated list of awesome resources about Recommender Systems.
  ☆321Updated 5 years ago
• jyfeather / ad-reading
  跟踪计算广告涉及的召回排序模型、特征工程相关的经典论文
  ☆81Updated 5 years ago
• Hirosora / LightCTR
  LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
  ☆102Updated last year
• mathcbc / Rank7-Solution-for-2018-ATEC-Anti-Fraud-Competition
  ATEC蚂蚁开发者大赛-支付风险识别-Rank7
  ☆85Updated 6 years ago
• hibayesian / spark-fm
  A parallel implementation of factorization machines based on Spark
  ☆73Updated 4 years ago
• jpmml / jpmml-xgboost
  Java library and command-line application for converting XGBoost models to PMML
  ☆129Updated 2 weeks ago
• jpmml / jpmml-lightgbm
  Java library and command-line application for converting LightGBM models to PMML
  ☆174Updated 2 weeks ago
• chengstone / kaggle_criteo_ctr_challenge-
  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。
  ☆357Updated 6 years ago
• wzhe06 / SparkCTR
  CTR prediction model based on spark(LR, GBDT, DNN)
  ☆912Updated 5 years ago
• titicaca / spark-iforest
  Isolation Forest on Spark
  ☆227Updated 6 months ago
• deymm / encoder2predict
  利用Encoder对二分类任务的序列数据进行概率预测
  ☆51Updated 4 years ago
• boredbird / woe
  Tools for WoE Transformation mostly used in ScoreCard Model for credit rating
  ☆254Updated 5 years ago
• Duxiaoman-DI / Duxiaoman-talk
  度小满数据智能应用部成员公开演讲材料
  ☆31Updated last year
• nosuggest / deep_learning
  基础的深度学习实验研究结果汇总笔记
  ☆506Updated last year
• SongDark / DeepFM_keras
  A simple DeepFM.
  ☆101Updated 6 years ago
• wangzhegeek / EGES
  ☆393Updated last month
• DSXiangLi / CTR
  CTR模型代码和学习笔记总结
  ☆387Updated 3 years ago
• aister2020 / KDDCUP_2020_Debiasing_1st_Place
  ☆172Updated 4 years ago
• fly-adser / home_for_adser
  some useful papers and blogs for people who are interested in online advertising
  ☆70Updated 2 years ago
• DiligentPanda / Tencent_Ads_Algo_2018
  This repository maintains codes for tencent advertisement algorithm competition 2018. Our codes ranked the 3rd place in the final round.
  ☆292Updated 6 years ago