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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

  1. Kaggle Google地标检索

Rank1: http://t.cn/R1i7Xiy
Rank14： http://t.cn/R1nQriY

  1. Lyft感知挑战赛

    赛题： http://t.cn/RBtrJcE
    Rank4： http://t.cn/RBtrMdw
    ​ http://t.cn/RBJnlug

  2. (Kaggle)CVPR 2018 WAD视频分割

Rank2: http://t.cn/Ehp4Ggm

  1. Kaggle Google AI Open Images

    Rank15: http://t.cn/RF1jnis

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

  3. Kaggle植物幼苗图像分类挑战赛

Rank1: http://t.cn/RBssjf6

  1. 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

  1. 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

  1. kaggle Carvana Image Masking Challenge

Rank1:https://github.com/asanakoy/kaggle_carvana_segmentation Rank3:https://github.com/lyakaap/Kaggle-Carvana-3rd-place-solution

  1. kaggle Statoil/C-CORE Iceberg Classifier Challenge

Rank4: https://github.com/asydorchuk/kaggle/blob/master/statoil/README.md

  1. 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

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

我们一直在努力

apachecn/AiLearning

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