# 解决方案列表

## 结构化数据/时间序列

1.  2018科大讯飞AI营销算法大赛

    Rank1：https://zhuanlan.zhihu.com/p/47807544

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.csdn.net/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.  2018JDATA 用户购买时间预测

    Rank9：https://zhuanlan.zhihu.com/p/45141799 
    
5.  2018 DF风机叶片开裂预警

    Rank2：https://github.com/SY575/DF-Early-warning-of-the-wind-power-system 
    
6.  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 
           
7.  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 
    
8.  2016融360-用户贷款风险预测

    Rank7：https://github.com/hczheng/Rong360 
    
9.  2016 CCF-020优惠券使用预测

    Rank1: https://github.com/wepe/O2O-Coupon-Usage-Forecast 
    
10. 2016 ccf-农产品价格预测

    Rank2: https://github.com/xing89qs/CCF_Product 

    Rank35: https://github.com/wqlin/ccf-price-prediction 
 
11. 2016 ccf-客户用电异常

    Rank4: https://github.com/AbnerYang/2016CCF-StateGrid 
    
12. 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 
           
13. 2016 ccf-联通的用户轨迹

    RankX: https://github.com/xuguanggen/2016CCF-unicom 
    
14. 2016 ccf-Human or Robots

    Rank6: https://github.com/pickou/ccf_human_or_robot 
    
15. 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 
    
## NLP

1.  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


## CV

1. Kaggle-TGS

   Rank1: http://t.cn/EzkDlOC   
   Rank9: http://t.cn/EznzvYv  
   Rank11:https://github.com/iasawseen/Kaggle-TGS-salt-solution
   Rank14:https://github.com/lRomul/argus-tgs-salt
   Rank15:https://github.com/adam9500370/Kaggle-TGS
   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
   Rank21:https://github.com/pascal1129/kaggle_airbus_ship_detection


9. kaggle RSNA Pneumonia Detection

   Rank1:https://github.com/i-pan/kaggle-rsna18
   Rank2:https://github.com/SeuTao/Kaggle_TGS2018_4th_solution
   Rank3:https://github.com/pmcheng/rsna-pneumonia
   Rank6:https://github.com/pfnet-research/pfneumonia
   Rank10:https://github.com/alessonscap/rsna-challenge-2018
   
10. kaggle Carvana Image Masking Challenge

   Rank1:https://github.com/asanakoy/kaggle_carvana_segmentation
   Rank3:https://github.com/lyakaap/Kaggle-Carvana-3rd-place-solution
	
11. kaggle Statoil/C-CORE Iceberg Classifier Challenge

   Rank4: https://github.com/asydorchuk/kaggle/blob/master/statoil/README.md
	
12. kaggle 2018 Data Science Bowl
	
   Rank1: https://github.com/selimsef/dsb2018_topcoders
   Rank2: https://github.com/jacobkie/2018DSB
   Rank3: https://github.com/Lopezurrutia/DSB_2018
   Rank4: https://github.com/pdima/kaggle_2018_data_science_bowl_solution
   Rank5: https://github.com/mirzaevinom/data_science_bowl_2018
    
    
## 经验文章

1.  介绍featexp 一个帮助理解特征的工具包 http://www.sohu.com/a/273552971_129720

2.  Ask Me Anything session with a Kaggle Grandmaster Vladimir I. Iglovikov 
    
    PDF：https://pan.baidu.com/s/1XkFwko_YrI5TfjjIai7ONQ

## 其它资源列表

1.  数据比赛资讯：https://github.com/iphysresearch/DataSciComp

2.  Kaggle top方案整理：https://github.com/EliotAndres/kaggle-past-solutions

3.  [Data competition Top Solution 数据竞赛Top解决方案开源整理](https://github.com/Smilexuhc/Data-Competition-TopSolution)
    
## 大佬的Git

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 
    
