Alternatives and similar repositories for Interview-Notebook:

Users that are interested in Interview-Notebook are comparing it to the libraries listed below

• PnYuan / Practice-of-Machine-Learning
  code of scattered practices when studying "machine-learning".
  ☆91Updated 5 years ago
• HanXiaoyang / CTR_NN
  基于深度学习的CTR预估，从FM推演各深度学习CTR预估模型（附代码）
  ☆208Updated 6 years ago
• anzhizh / 2019-taida-jdata-top3
  ☆101Updated 5 years ago
• jizhihui / fm_python
  implement fm demo with python
  ☆51Updated 5 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。
  ☆103Updated 4 years ago
• bettenW / 2018-iFLYTEK-Marketing-Algorithms-Competition-Finals-Rank1
  2018科大讯飞营销算法大赛（冠军方案）
  ☆94Updated 5 years ago
• liupengsay / DataScience
  数据科学竞赛实战
  ☆165Updated last year
• bettenW / IJCAI18_Tianchi_Rank29
  IJCAI18-阿里妈妈广告转化率预测代码（Rank29）
  ☆96Updated 6 years ago
• nzc / tencent-contest
  ☆201Updated 6 years ago
• BladeCoda / Tencent2018_Final_Phrase_Presto
  腾讯2018社交广告竞赛开源（决赛69名）
  ☆50Updated 4 years ago
• ouwenjie03 / tencent-ad-game
  第二届腾讯广告算法大赛（Rank 9） http://algo.tpai.qq.com/home/rankinglist/rankingList
  ☆106Updated 6 years ago
• wepe / efficient-decision-tree-notes
  高效决策树算法系列笔记
  ☆230Updated 5 years 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
• Hourout / CTR-keras
  Tensorflow2.x implementations of CTR（LR、FM、FFM)
  ☆72Updated 3 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
• SongDark / DeepFM_keras
  A simple DeepFM.
  ☆101Updated 6 years ago
• duxuhao / JData-2018
  Top 6 - Code for JData-2018
  ☆81Updated 6 years ago
• xiaogp / recsys_spark
  Spark SQL 实现 ItemCF，UserCF，Swing，推荐系统，推荐算法，协同过滤
  ☆138Updated 5 years ago
• aister2020 / KDDCUP_2020_Debiasing_1st_Place
  ☆172Updated 4 years ago
• fanfanda / OGeek-Competition
  Sharing of the second-place solution in Tianchi OGeek competition.
  ☆22Updated 5 months ago
• ZengHaihong / 2018_CCF_BDCI_ChinaUnicom_Package_Match_Rank6
  联通研究院-面向电信行业存量用户的智能套餐个性化匹配模型_复赛第6名
  ☆50Updated 6 years ago
• Francis1986 / Jdata_2018
  京东Jdata2018"如期而至"用户购买时间预测
  ☆44Updated 6 years ago
• chizhu / yiguan_sex_age_predict_1st_solution
  易观性别年龄预测第一名解决方案
  ☆170Updated 6 years ago
• hxyue / hub-recsys
  A python library contain classic algorithms and deep models on recommender system
  ☆46Updated 4 years ago
• dayeren / Kaggle_Competition_Treasure
  Describe past Kaggle solutions
  ☆372Updated 5 years ago
• lyhue1991 / spark_tutorial
  500+ spark short code examples in jupyter notebook!
  ☆101Updated 5 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
• RainFung / awesome-visualization
  Give me the data, show you the figures.
  ☆9Updated 5 years ago
• duboya / CTR-Prediction
  Sharing the CTR Prediction original paper and personal study notes
  ☆146Updated 5 years ago
• stasi009 / Recommend-Estimators
  Classical RecSys algorithms implemented by using TensorFlow Estimators
  ☆183Updated 6 years ago