Data competition Top Solution 数据竞赛Top解决方案开源整理

持续更新中 欢迎大家一起参加

一、数据竞赛：

1. 2018科大讯飞AI营销算法大赛
   Rank1：https://zhuanlan.zhihu.com/p/47807544
   Rank2：https://github.com/infturing/kdxf
   Rank21：https://github.com/Michaelhuazhang/-AI21-

2. 2018 IJCAI 阿里妈妈搜索广告转化预测
   Rank1：https://github.com/plantsgo/ijcai-2018
   Rank2：https://github.com/YouChouNoBB/ijcai-18-top2-single-mole-solution
   https://blog.csdnnet/Bryan__/article/details/80600189
   Rank3: https://github.com/luoda888/2018-IJCAI-top3
   Rank8: https://github.com/fanfanda/ijcai_2018
   Rank8: https://github.com/Gene20/IJCAI-18
   Rank9（第一赛季）https://github.com/yuxiaowww/IJCAI-18-TIANCHI
   Rank29: https://github.com/bettenW/IJCAI18_Tianchi_Rank29
   Rank41: https://github.com/cmlaughing/IJCAI-18
   Rank48: https://github.com/YunaQiu/IJCAI-18alimama
   Rank53: https://github.com/altmanWang/IJCAI-18-CVR
   Rank60: https://github.com/Chenyaorui/ijcai_2018
   Rank81: https://github.com/wzp123456/IJCAI_18
   Rank94: https://github.com/Yangtze121/-IJCAI-18-

3. 2018腾讯广告算法大赛
   Rank3: https://github.com/DiligentPanda/Tencent_Ads_Algo_2018
   rank6: https://github.com/nzc/tencent-contest
   Rank7: https://github.com/guoday/Tencent2018_Lookalike_Rank7th
   Rank9: https://github.com/ouwenjie03/tencent-ad-game
   Rank10: https://github.com/keyunluo/Tencent2018_Lookalike_Rank10th
   rank10（初赛）: https://github.com/ShawnyXiao/2018-Tencent-Lookalike
   Rank11: https://github.com/liupengsay/2018-Tencent-social-advertising-algorithm-contest
   https://my.oschina.net/xtzggbmkk/blog/1865680
   Rank26: https://github.com/zsyandjyhouse/TencentAD_contest
   Rank33: https://github.com/John-Yao/Tencent_Social_Ads2018
   Rank69: https://github.com/BladeCoda/Tencent2018_Final_Phrase_Presto

4. 2018高校大数据挑战赛-快手活跃用户预测
   Rank1： https://github.com/drop-out/RNN-Active-User-Forecast
   https://zhuanlan.zhihu.com/p/42622063
   Rank4: https://github.com/chantcalf/2018-Rank4-
   Rank13(初赛 a榜rank2 b榜rank5): https://github.com/luoda888/2018-KUAISHOU-TSINGHUA-Top13-Solutions
   https://github.com/totoruo/KuaiShou2018-RANK13-RNN
   Rank15: https://github.com/sunwantong/Kuaishou-Active-User
   Rank20: https://github.com/bigzhao/Kuaishou_2018_rank20th
   Rank28(初赛 a榜rank1 b榜rank2)：https://github.com/YangKing0834131/2018-KUAISHOU-TSINGHUA-Top28-Solutions-
   https://github.com/FNo0/2018-KUAISHOU-Top28
   Rank35：https://github.com/chizhu/kuaishou2018

5. 2018JDATA 用户购买时间预测
   Rank9：https://zhuanlan.zhihu.com/p/45141799

6. 2018 DF风机叶片开裂预警
   Rank2：https://github.com/SY575/DF-Early-warning-of-the-wind-power-system

7. 2018 DF光伏发电量预测
   Rank1：https://zhuanlan.zhihu.com/p/44755488?utm_source=qq&utm_medium=social&utm_oi=623925402599559168
   https://mp.weixin.qq.com/s/Yix0xVp2SiqaAcuS6Q049g

8. AI全球挑战者大赛-违约用户风险预测
   Rank1：https://github.com/chenkkkk/User-loan-risk-prediction

9. 2016融360-用户贷款风险预测
   Rank7：https://github.com/hczheng/Rong360

10. 2018 CCF-面向电信行业存量用户的智能套餐个性化匹配模型
    Rank1：https://github.com/PPshrimpGo/BDCI2018-ChinauUicom-1st-solution
    Rank2：https://github.com/PandasCute/2018-CCF-BDCI-China-Unicom-Research-Institute-top2

11. 2018 CCF-汽车领域ASC挑战赛
    Rank7: https://github.com/nlpjoe/CCF-BDCI-Automotive-Field-ASC-2018

12. 2016 CCF-020优惠券使用预测
    Rank1: https://github.com/wepe/O2O-Coupon-Usage-Forecast

13. 2016 ccf-农产品价格预测
    Rank2: https://github.com/xing89qs/CCF_Product
    Rank35: https://github.com/wqlin/ccf-price-prediction

14. 2016 ccf-客户用电异常
    Rank4: https://github.com/AbnerYang/2016CCF-StateGrid

15. 2016 ccf-搜狗的用户画像比赛
    Rank1: https://github.com/hengchao0248/ccf2016_sougou
    Rank3: https://github.com/AbnerYang/2016CCF-SouGou
    Rank5: https://github.com/dhdsjy/2016_CCFsougou
    https://github.com/dhdsjy/2016_CCFsougou2
    https://github.com/prozhuchen/2016CCF-sougou
    https://github.com/coderSkyChen/2016CCF_BDCI_Sougou

16. 2016 ccf-联通的用户轨迹
    RankX: https://github.com/xuguanggen/2016CCF-unicom

17. 2016 ccf-Human or Robots
    Rank6: https://github.com/pickou/ccf_human_or_robot

18. 菜鸟-需求预测与分仓规划
    Rank6: https://github.com/wepe/CaiNiao-DemandForecast-StoragePlaning
    Rank10: https://github.com/xing89qs/TianChi_CaiNiao_Season2

19. (Kaggle)2018 Data Science Bow
    Rank1: https://www.kaggle.com/c/data-science-bowl-2018/discussion/54741
    Rank4: https://www.kaggle.com/c/data-science-bowl-2018/discussion/55118

20. 2018对抗挑战优胜经验分享
    by snakers41: http://t.cn/RBMaq4y
    GitHub:http://t.cn/RBMlfBH

21. Galaxy Zoo challenge
    http://benanne.github.io/2014/04/05/galaxy-zoo.html

22. Kaggle Home Credit违约风险预测
    Rank1: http://t.cn/RFsoHgv

23. 第三届阿里云安全算法挑战赛
    Rank1: https://github.com/poteman/Alibaba-3rd-Security-Algorithm-Challenge

24. 2018dc-新网银行杯 Rank3：https://github.com/Smilexuhc/Xingwangbankcup-top3
    Rank4：https://github.com/TingNie/CreditForecast

二、NLP：

1. 2018 DC达观-文本智能处理挑战 Rank1: https://github.com/ShawnyXiao/2018-DC-DataGrand-TextIntelProcess
   Rank2：https://github.com/CortexFoundation/-
   Rank4: https://github.com/hecongqing/2018-daguan-competition
   Rank8：https://github.com/Rowchen/Text-classifier
   Rank10: https://github.com/moneyDboat/data_grand Rank11：https://github.com/TianyuZhuuu/DaGuan_TextClassification_Rank11
   Rank18: https://github.com/nlpjoe/daguan-classify-2018
   RankX: https://github.com/yanqiangmiffy/daguan

2. 智能客服问题相似度算法设计——第三届魔镜杯大赛
   rank6 https://github.com/qrfaction/paipaidai
   rank12 https://www.jianshu.com/p/827dd447daf9 https://github.com/LittletreeZou/Question-Pairs-Matching
   Rank16：https://github.com/guoday/PaiPaiDai2018_rank16
   Rank29: https://github.com/wangjiaxin24/daguan_NLP

3. 2018JD Dialog Challenge 任务导向型对话系统挑战赛
   Rank3: https://github.com/zengbin93/jddc_solution_4th

4. 2018CIKM AnalytiCup – 阿里小蜜机器人跨语言短文本匹配算法竞赛
   Rank2: https://github.com/zake7749/Closer
   Rank12：https://github.com/Leputa/CIKM-AnalytiCup-2018
   Rank18: https://github.com/VincentChen525/Tianchi/tree/master/CIKM%20AnalytiCup%202018

5. 路透社新闻数据集“深度”探索性分析(词向量/情感分析)
   https://www.kaggle.com/hoonkeng/deep-eda-word-embeddings-sentiment-analysis/notebook

6. “神策杯”2018高校算法大师赛(关键词提取)
   Rank1: http://www.dcjingsai.com/common/bbs/topicDetails.html?tid=2382
   Rank2: https://github.com/bigzhao/Keyword_Extraction
   Rank5: https://github.com/Dikea/ShenceCup.extract_keywords

7. 知乎看山杯：
   Rank1：https://github.com/chenyuntc/PyTorchText
   Rank2：https://github.com/Magic-Bubble/Zhihu
   Rank6：https://github.com/yongyehuang/zhihu-text-classification Rank9：https://github.com/coderSkyChen/zhihu_kanshan_cup_2017
   Rank21：https://github.com/zhaoyu87/zhihu

8. 2018 CCL 客服领域用户意图分类评测
   Rank1：https://github.com/nlpjoe/2018-CCL-UIIMCS

9. 第二届搜狐内容识别大赛
   Rank1：https://github.com/zhanzecheng/SOHU_competition

三、CV：

1. Kaggle-TGS Rank1: http://t.cn/EzkDlOC
   Rank4: http://t.cn/EzuvemA
   http://t.cn/EzuPvfp
   Rank9: http://t.cn/EznzvYv
   Rank22: http://t.cn/EzYkR6i
   Rank56 https://github.com/Gary-Deeplearning/TGS-Salt

2. Kaggle Google地标检索
   Rank1: http://t.cn/R1i7Xiy
   Rank14： http://t.cn/R1nQriY

3. Lyft感知挑战赛
   赛题： http://t.cn/RBtrJcE
   Rank4： http://t.cn/RBtrMdw
   http://t.cn/RBJnlug

4. (Kaggle)CVPR 2018 WAD视频分割
   Rank2: http://t.cn/Ehp4Ggm

5. Kaggle Google AI Open Images
   Rank15: http://t.cn/RF1jnis

6. Quick, Draw! Kaggle Competition Starter Pack
   http://t.cn/EZAoZDM

7. Kaggle植物幼苗图像分类挑战赛
   Rank1: http://t.cn/RBssjf6

8. Kaggle Airbus Ship Detection Challenge (Kaggle卫星图像船舶检测比赛)
   Rank8: https://github.com/SeuTao/Kaggle_Airbus2018_8th_code

四、大佬的Github：

1. 植物 ：https://github.com/plantsgo
2. wepon ：https://github.com/wepe
3. Snake：https://github.com/luoda888
4. Drop-out：https://github.com/drop-out
5. 金老师的知乎：https://zhuanlan.zhihu.com/jlbookworm
6. 渣大：https://github.com/nzc
7. 郭大：https://github.com/guoday
8. Cortex Lab：https://github.com/CortexFoundation

五、资源整理：

• 数据比赛资讯：https://github.com/iphysresearch/DataSciComp
• ApacheCN 的kaggle资料链接：https://github.com/apachecn/kaggle
• Kaggle top方案整理：https://github.com/EliotAndres/kaggle-past-solutions
• 介绍featexp 一个帮助理解特征的工具包 http://www.sohu.com/a/273552971_129720
• Ask Me Anything session with a Kaggle Grandmaster Vladimir I. Iglovikov PDF：https://pan.baidu.com/s/1XkFwko_YrI5TfjjIai7ONQ
• Owen Zhang访谈：Kaggle制胜的秘密 http://t.cn/RBzPcyg
• How to Compete for Zillow Prize at Kaggle https://www.datasciencecentral.com/profiles/blogs/how-to-compete-for-zillow-prize-at-kaggle
• Profiling Top Kagglers: Martin Henze http://blog.kaggle.com/2018/06/19/tales-from-my-first-year-inside-the-head-of-a-recent-kaggle-addict/
• Kaggle数据科学词汇表 http://t.cn/Rdx72Cn
• Kaggle比赛优胜方案汇总 http://t.cn/Rdkj3Co
• Kaggle比赛实战教程(Pandas, Matplotlib, XGBoost/Colab) http://t.cn/ReIJOX0
  http://t.cn/ReIJOXK
• Kaggle看照片猜相机比赛心得分享 http://t.cn/Rkz5Q9y pdf:http://t.cn/Rkz5Q9L
• Kaggle在线分类广告需求预测比赛优胜方案分享 http://t.cn/RFpQg9O
• Kaggle | Winner Interview http://blog.kaggle.com/2018/09/14/pei-lien-chou/
• Ask Me Anything session with a Kaggle Grandmaster Vladimir I. Iglovikov http://t.cn/Eww4nnu
• 2018 NIPS视觉对抗挑战总结 http://t.cn/EAMqw0P

六、数据集：

【开放数据集大列表】《Open Datasets | Skymind》 http://t.cn/RFAoweW

【数据集搜索引擎：Google启动新搜索引擎帮助科学家找到需要的数据集】http://t.cn/RsAHucP https://www.blog.google/products/search/making-it-easier-discover-datasets/
Dataset Search:http://t.cn/RsAHuch

【fast.ai开放数据集】“fast.ai Datasets” http://t.cn/Ezzp51m ref:《The new fast.ai research datasets collection, on AWS Open Data》 http://t.cn/EzzpXQ5 种子来了 http://t.cn/EzA7XpZ

【计算机视觉“小众”数据集集锦】《Rare Datasets for Computer Vision Every Machine Learning Expert Must Work With》 http://t.cn/EZE9Vb7

PS： 特别感谢金老师对整理比赛开源已做出的贡献,特别是在2016年的ccf大赛中 团队联系方式：
Smile qq:240485545 Email:smile.xuhc@gmail.com
PUSH qq:1471386635 Email:1471386635@qq.com
dive2space qq: 1124361357 Email:dive2space@qq.com
Jean_V qq:2398963799 Email:jianwu925@qq.com