Alternatives and similar repositories for SliceNDice

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

• JunhaoWang / fraudar
  ☆25Updated 6 years ago
• rgmining / fraudar
  A wrapper of FRAUDAR algorithm
  ☆68Updated last week
• Duxiaoman-DI / Duxiaoman-talk
  度小满数据智能应用部成员公开演讲材料
  ☆33Updated last year
• oywtece / deepmcp
  Deep Matching, Correlation and Prediction (DeepMCP) Model
  ☆125Updated 4 years ago
• TPLink32 / logistic-regression
  对逻辑回归各种用法的总结,包括线性,多类,并行,分布式,在线,优化方案
  ☆15Updated 7 years ago
• 99731 / M2GRL
  A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"
  ☆97Updated 5 years ago
• PanpanZheng / OCAN
  ☆52Updated 5 years ago
• 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
• aister2020 / KDDCUP_2020_AutoGraph_1st_Place
  KDD CUP 2020 Automatic Graph Representation Learning: 1st Place Solution
  ☆98Updated 4 years ago
• imsheridan / CogDL-TensorFlow
  CogDL-TensorFlow: The TensorFlow Implementation of CogDL. With Support from Professor Jie Tang.
  ☆81Updated 5 years ago
• duoan / ijcai18-mama-ads-competition
  IJCAI-18 阿里妈妈搜索广告转化预测初赛方案
  ☆74Updated 7 years ago
• duboya / CTR-Prediction
  Sharing the CTR Prediction original paper and personal study notes
  ☆146Updated 5 years ago
• leichaocn / graph_representation_learning
  ☆37Updated 5 years ago
• CRIPAC-DIG / Fi_GNN
  [CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"
  ☆83Updated last year
• stasi009 / NumpyWDL
  Implement Wide & Deep algorithm by using NumPy
  ☆154Updated 6 years ago
• SongDark / DeepFM_keras
  A simple DeepFM.
  ☆101Updated 7 years ago
• csearch / risky-company-project
  ☆31Updated 7 years ago
• JerryCatLeung / deepwalk_node2vector_eges
  将deepwalk、node2vector和阿里的文章:Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba 用代码实现
  ☆55Updated 5 years 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
• googlebaba / KDD2019-MEIRec
  KDD2019-Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation
  ☆189Updated 3 years ago
• zldeng / XgboostAndLR
  use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR
  ☆44Updated 7 years ago
• shenghua-liu / HoloScope
  HoloScope: Topology-and-Spike Aware Fraud Detection
  ☆54Updated 4 years ago
• rickyxume / TianChi_RecSys_AntiSpam
  第三届 Apache Flink 极客挑战赛暨AAIG CUP——电商推荐“抱大腿”攻击识别亚军代码方案
  ☆29Updated 3 years ago
• titicaca / spark-gbtlr
  Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark
  ☆87Updated 6 years ago
• iqiyi / HMGNN
  ☆64Updated 4 years ago
• yusonghust / graphsage_tf
  Tensorflow implementation of 'Inductive Representation Learning on Large Graphs'
  ☆25Updated 6 years ago
• LRegan666 / Tree_Deep_Model
  Deep neural network model based on the tree
  ☆48Updated 6 years ago
• safe-graph / UGFraud
  An Unsupervised Graph-based Toolbox for Fraud Detection
  ☆130Updated 3 years ago
• qian135 / ctr_model_zoo
  some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interes…
  ☆70Updated 6 years ago
• Shuilongyin / ATEC-2018
  ☆24Updated 6 years ago