Alternatives and similar repositories for Logistic-Regression:

Users that are interested in Logistic-Regression are comparing it to the libraries listed below

• catqaq / StepIntoRecommenderSystems
  RecommenderSystems: from 0 to practice. 包括推荐系统实践和深度推荐系统两部分
  ☆17Updated 3 years ago
• youngerForCode / weipinhui
  唯品会用户购买行为预测
  ☆28Updated 7 years ago
• zkailinzhang / shortvideo_youtubeDNN_recommend
  短视频 youtube召回模型推荐，特征包括标题 tags id，tfserving docker部署
  ☆23Updated 4 years ago
• wuxinping1992 / cf_gbdt_lr
  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
  ☆59Updated 6 years ago
• jianxuhuawei / graphx-labelpropagation
  An implementation of label propagation from the paper "Learning from labeled and unlabeled data with label propagation"
  ☆20Updated 9 years ago
• hello-world-zsp / SDAE-recommendation
  SDAE-recommendation system
  ☆11Updated 7 years ago
• rootlu / SIAN
  Code and data for ECML-PKDD paper "Social Influence Attentive Neural Network for Friend-Enhanced Recommendation"
  ☆32Updated 4 years ago
• iqiancheng / sparrow-recsys-spring-boot
  Spring Boot 版本的 SparrowRecSys，支持 Docker 一键运行。(王喆：深度学习推荐系统实践课)
  ☆27Updated 3 years ago
• XiuzeZhou / Recommender-Systems
  collaborative filtering methods for recommender systems
  ☆62Updated 3 years ago
• isthegoal / recommendation_model_master
  自己学习推荐系统过程中用到的代码
  ☆50Updated 5 years ago
• fly-adser / tensorflow-CTR
  Tensorflow implementations of various Learning to CTR algorithms.
  ☆17Updated 2 years ago
• jiangnanboy / recommendation_methods
  个性化推荐模型，主要包括als、als_wr、biaslfm、lfm、nmf、svdpp、基于内容、基于内容回归、user-cf、item-cf、slopeone、关联规则以及基于内容和cf的混合等模型。
  ☆32Updated 2 years ago
• bits-bytes-nn / ctr_prediction
  Experiment results using FM, FFM and DeepFM algorithms in Criteo Display Advertising Challenge(https://www.kaggle.com/c/criteo-display-ad…
  ☆13Updated 5 years ago
• LeronQ / score_logistic
  构建基于逻辑回归的评分卡模型
  ☆44Updated 6 years ago
• NoisyWinds / Recommend
  Python 3.6 下的推荐算法解析，尽量使用简单的语言剖析原理，相似度度量、协同过滤、矩阵分解等
  ☆105Updated 6 years ago
• YunaQiu / IJCAI-18alimama
  IJCAI-18 阿里妈妈搜索广告转化预测大赛，top50方案
  ☆13Updated 6 years ago
• gtshs2 / Collaborative-Denoising-Auto-Encoder
  Collaborative Denoising Auto-Encoder for Top-N Recommender Systems (CDAE)
  ☆26Updated 4 years ago
• zeroized / DeepRec-torch
  Easy-to-use pytorch-based framework for RecSys models
  ☆40Updated 4 years ago
• codectr / RefineCTR
  The code of <A Comprehensive Analysis and Evaluation of Feature Refinement Modules for CTR Prediction>
  ☆8Updated last year
• enuzhin / SeqRecSys
  Sequential User-based Recurrent Neural Network Recommendations
  ☆9Updated 6 years ago
• caoxingchao / movieLens
  使用 Spark MLlib 的 ALS 算法的电影推荐系统
  ☆42Updated 8 years ago
• littlehacker26 / 2018-NanJing-AI-Application-Competition
  赛题的解题思路描述和项目源代码
  ☆16Updated last year
• yushuai / FISM
  implementation for the paper "FISM: Factored Item Similarity Models for Top-N Recommender Systems" by Tensorflow 1.2
  ☆22Updated 7 years ago
• ConstellationBJUT / recommender_system_study
  Deep Learning Recommender System Study Notes
  ☆13Updated 4 years ago
• dai08srhg / ESMM
  PyTorch implementation of Entire Space Multitask Model (ESMM)
  ☆37Updated 3 years ago
• jiejie1993 / music_recommendation_2018
  1.解析爬取到的Json歌单数据，并进行数据预处理。 2.基于Surprise推荐系统库，采用KNNBaseLine实现基于用户 的协同过滤歌曲推荐。3.借鉴Word2Vec算法思想进行Song2Vec处理，实现基于物品的协同过滤歌曲推荐。 4.采用 TensorFlow实…
  ☆39Updated 6 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
• Thinkgamer / RecSysDevCode
  《推荐系统开发实战》代码及勘误
  ☆60Updated 5 years ago
• out-to-right / --DataCastle
  基于用户行为的推荐算法大赛---第四名（临兵斗列）
  ☆41Updated 8 years ago
• busesese / Recommendation_Pytorch
  Recommendation Alogrithms code by pytorch
  ☆14Updated 6 years ago