Alternatives and similar repositories for 2018-NanJing-AI-Application-Competition

Users that are interested in 2018-NanJing-AI-Application-Competition are comparing it to the libraries listed below

• AlisaBen / marvel
  Bytedance ICME2019
  ☆13Updated 6 years ago
• Hunter-P / 2020-KDD-Cup-Multimodalities-Recall
  人人都能看懂的轻量级解决方案
  ☆16Updated 5 years ago
• srtianxia / BDC2019_Top2
  2019中国高校大数据挑战赛-第二名解决方案
  ☆80Updated 6 years ago
• chenchongyuan / 2019BDC
  2019中国高校计算机大赛——大数据挑战赛 第一名解决方案
  ☆42Updated 5 years ago
• littleq0903 / simrank
  SimRank algorithm implementation in Python
  ☆31Updated 12 years ago
• ARASC / papers
  papers we read about Recommendation Advertising & Search
  ☆32Updated 5 years ago
• gdtydm / jdata-2019-1st
  ‘京东杯’《用户对品类下的购买预测》-冠军团队‘AI你所想’解决方案
  ☆25Updated 5 years ago
• End-the-cold-night / deeprec
  A easy library for recommendation system or computational advertising
  ☆22Updated 6 years ago
• Wind-Ward / Yun_Cup
  "Yun Cup" Scenic Reputation Evaluation Score Forecast 3th Solution
  ☆13Updated 7 years ago
• guoday / PaiPaiDai2018_rank16
  ESIM model with lanuage model
  ☆27Updated 6 years ago
• YouChouNoBB / ijcai-17-top1-single-mole-solution
  IJCAI-17 top1 solution
  ☆65Updated 7 years ago
• lcxanhui / JDATA-2019
  京东JDATA2019-用户对品类下店铺的购买预测
  ☆18Updated 6 years ago
• CastellanZhang / NDCG
  ☆23Updated 8 years ago
• liuchenailq / zhihu-findexp
  2019年知乎看山杯专家发现算法大赛第六名完整解决方案
  ☆39Updated 5 years ago
• Autumn945 / KDDCUP20-Debiasing-Top5
  ☆52Updated 5 years ago
• zhusleep / ai_ppts
  ☆37Updated 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
• chantcalf / 2018-Rank4-
  快手活跃用户预测——lctry队解决方案
  ☆51Updated 7 years ago
• CortexFoundation / paipaidai_rank1
  ☆22Updated 7 years ago
• qqgeogor / bytecup_solution
  ☆37Updated 8 years ago
• oywtece / deepmcp
  Deep Matching, Correlation and Prediction (DeepMCP) Model
  ☆125Updated 5 years ago
• eecrazy / word2vec_chinese_annotation
  word2vec源码阅读，标记了中文注释
  ☆61Updated 8 years ago
• zldeng / XgboostAndLR
  use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR
  ☆44Updated 8 years ago
• CortexFoundation / -
  “达观杯”文本智能处理挑战赛
  ☆54Updated 7 years ago
• keyunluo / Tencent2018_Lookalike_Rank10th
  2018年腾讯广告算法大赛Rank10代码：深度部分
  ☆68Updated 7 years ago
• bojone / infomap
  a beautiful method for cluster or community detection
  ☆51Updated 6 years ago
• stellaxu / DHAN
  DHAN code for SIGIR 2020
  ☆45Updated 5 years ago
• VoldeMortzzz / 2019Baai-zhihu-Cup-findexp-4th
  2019年知乎看山杯第四名
  ☆35Updated 5 years ago
• shenweichen / ctrip14
  科赛 携程出行产品未来14个月销量预测 第2名
  ☆62Updated 8 years ago
• AbnerYang / 2016CCF-SouGou
  CCF2016 - TNT_000二等奖作品
  ☆87Updated 8 years ago