Alternatives and similar repositories for fastunfolding

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

• Hourout / CTR-keras
  Tensorflow2.x implementations of CTR（LR、FM、FFM)
  ☆72Updated 4 years ago
• jizhihui / fm_python
  implement fm demo with python
  ☆51Updated 6 years ago
• MachineLP / Spark-
  Spark学习笔记
  ☆45Updated 2 years ago
• yzkang / QH_FInSight
  国内首个迁移学习赛题 中国平安前海征信“好信杯”迁移学习大数据算法大赛 FInSight团队作品(算法方案排名第三)
  ☆87Updated 6 years ago
• xSupervisedLearning / Rong360_feature_mining_1st_solution
  ☆66Updated 6 years ago
• titicaca / spark-gbtlr
  Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark
  ☆87Updated 6 years ago
• ultimatejoe / rong_360_1
  融360智能金融算法大赛——拒绝推断
  ☆26Updated 6 years ago
• HanXiaoyang / pyspark-recommendation-demo
  movie recommendation demo using collaborative filtering and lfm(spark mllib ALS)
  ☆95Updated 9 years ago
• YouChouNoBB / ijcai-17-top1-single-mole-solution
  IJCAI-17 top1 solution
  ☆65Updated 7 years ago
• siqi13579 / ctr_Keras
  LR, Wide&Deep, DCN, NFM, DeepFM, NFFM
  ☆116Updated 6 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
• wangru8080 / gbdt-lr
  gbdt+lr
  ☆158Updated 6 years ago
• lyg5623 / lightgbm_predict4j
  A java implementation of LightGBM predicting part
  ☆86Updated last year
• chenkkkk / User-purchase-forecast
  招商银行信用卡中心校园大赛：消费金融场景下的用户购买预测 Rank 3rd
  ☆72Updated 7 years ago
• jimmycheng603 / data_analysis
  数据分析
  ☆12Updated 8 years ago
• wangruichens / recsys
  LR, FM, DeepFM, xDeepFM, DIN, CF等推荐算法代码demo。采用TFRecords作为输入，方便实际场景应用。
  ☆104Updated 5 years ago
• neal668 / LightGBM-GBDT-LR
  a python code of applying GBDT+LR for CTR prediction
  ☆333Updated 7 years ago
• pjpan / PPJUtils
  some usefult utils like change tools and city lon and lat
  ☆59Updated 6 years ago
• kunguang / SelectFeature
  主要解决ctr预估工程中的特征选择，特征编号(特征离散),单特征auc和logloss这3个问题.
  ☆20Updated 8 years ago
• Eleanoryuyuyu / RecommendRelative
  推荐系统相关模型 包括召回和排序
  ☆30Updated 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 5 years ago
• wepe / CaiNiao-DemandForecast-StoragePlaning
  1st Place Season one & 6th Place Season two
  ☆151Updated 8 years ago
• xuguanggen / 2016CCF-unicom
  2016 ccf 依据用户轨迹的商户精准营销
  ☆18Updated 8 years ago
• Cedarmo / 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
  ☆15Updated 5 years ago
• AbnerYang / 2016CCF-SouGou
  CCF2016 - TNT_000二等奖作品
  ☆87Updated 8 years ago
• weiweijiuzaizhe / ctr_pipeline
  通过对于现有开源分布式机器学习工具的整合(主要是基于参数服务器的logistic regression,xgboost,FFM,FM ),打造一个工业级的,可以线上使用的点击率预估流水线
  ☆26Updated 8 years ago
• sjtuhzc / CTR-estimator
  LR and FM (with sgd or ftrl) model
  ☆25Updated 9 years ago
• charleshm / deep-ctr
  ☆91Updated 7 years ago
• lisette-espin / pychimerge
  ChiMerge: Discretization of Numeric Attributes
  ☆41Updated 9 years ago
• xiaogp / customer_churn_prediction
  零售电商客户流失模型，基于tensorflow，xgboost4j-spark，spark-ml实现LR，FM，GBDT，RF，进行模型效果对比，离线/在线部署方式总结
  ☆67Updated 2 years ago