242 lines
6.7 KiB
Markdown
242 lines
6.7 KiB
Markdown
# 解决方案列表
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## 结构化数据/时间序列
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1. 2018科大讯飞AI营销算法大赛
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Rank1：https://zhuanlan.zhihu.com/p/47807544
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2. 2018 IJCAI 阿里妈妈搜索广告转化预测
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Rank1：https://github.com/plantsgo/ijcai-2018
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Rank2：
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+ https://github.com/YouChouNoBB/ijcai-18-top2-single-mole-solution
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+ https://blog.csdn.net/Bryan__/article/details/80600189
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Rank3: https://github.com/luoda888/2018-IJCAI-top3
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Rank8: https://github.com/fanfanda/ijcai_2018
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Rank8: https://github.com/Gene20/IJCAI-18
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Rank9（第一赛季）https://github.com/yuxiaowww/IJCAI-18-TIANCHI
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Rank29: https://github.com/bettenW/IJCAI18_Tianchi_Rank29
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Rank41: https://github.com/cmlaughing/IJCAI-18
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Rank48: https://github.com/YunaQiu/IJCAI-18alimama
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Rank53: https://github.com/altmanWang/IJCAI-18-CVR
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Rank60: https://github.com/Chenyaorui/ijcai_2018
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Rank81: https://github.com/wzp123456/IJCAI_18
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Rank94: https://github.com/Yangtze121/-IJCAI-18-
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3. 2018腾讯广告算法大赛
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Rank3: https://github.com/DiligentPanda/Tencent_Ads_Algo_2018
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rank6: https://github.com/nzc/tencent-contest
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Rank7: https://github.com/guoday/Tencent2018_Lookalike_Rank7th
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Rank9: https://github.com/ouwenjie03/tencent-ad-game
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Rank10: https://github.com/keyunluo/Tencent2018_Lookalike_Rank10th
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rank10（初赛）: https://github.com/ShawnyXiao/2018-Tencent-Lookalike
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Rank11:
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+ https://github.com/liupengsay/2018-Tencent-social-advertising-algorithm-contest
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+ https://my.oschina.net/xtzggbmkk/blog/1865680
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Rank26: https://github.com/zsyandjyhouse/TencentAD_contest
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Rank33: https://github.com/John-Yao/Tencent_Social_Ads2018
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Rank69: https://github.com/BladeCoda/Tencent2018_Final_Phrase_Presto
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4. 2018JDATA 用户购买时间预测
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Rank9：https://zhuanlan.zhihu.com/p/45141799
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5. 2018 DF风机叶片开裂预警
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Rank2：https://github.com/SY575/DF-Early-warning-of-the-wind-power-system
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6. 2018 DF光伏发电量预测
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Rank1：https://zhuanlan.zhihu.com/p/44755488?utm_source=qq&utm_medium=social&utm_oi=623925402599559168
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https://mp.weixin.qq.com/s/Yix0xVp2SiqaAcuS6Q049g
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7. AI全球挑战者大赛-违约用户风险预测
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Rank1：https://github.com/chenkkkk/User-loan-risk-prediction
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8. 2016融360-用户贷款风险预测
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Rank7：https://github.com/hczheng/Rong360
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9. 2016 CCF-020优惠券使用预测
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Rank1: https://github.com/wepe/O2O-Coupon-Usage-Forecast
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10. 2016 ccf-农产品价格预测
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Rank2: https://github.com/xing89qs/CCF_Product
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Rank35: https://github.com/wqlin/ccf-price-prediction
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11. 2016 ccf-客户用电异常
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Rank4: https://github.com/AbnerYang/2016CCF-StateGrid
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12. 2016 ccf-搜狗的用户画像比赛
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Rank1: https://github.com/hengchao0248/ccf2016_sougou
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Rank3: https://github.com/AbnerYang/2016CCF-SouGou
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Rank5:
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+ https://github.com/dhdsjy/2016_CCFsougou
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+ https://github.com/dhdsjy/2016_CCFsougou2
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+ https://github.com/prozhuchen/2016CCF-sougou
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+ https://github.com/coderSkyChen/2016CCF_BDCI_Sougou
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13. 2016 ccf-联通的用户轨迹
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RankX: https://github.com/xuguanggen/2016CCF-unicom
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14. 2016 ccf-Human or Robots
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Rank6: https://github.com/pickou/ccf_human_or_robot
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15. 菜鸟-需求预测与分仓规划
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Rank6: https://github.com/wepe/CaiNiao-DemandForecast-StoragePlaning
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Rank10: https://github.com/xing89qs/TianChi_CaiNiao_Season2
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## NLP
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1. 智能客服问题相似度算法设计——第三届魔镜杯大赛
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rank6 https://github.com/qrfaction/paipaidai
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rank12
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+ https://www.jianshu.com/p/827dd447daf9
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+ https://github.com/LittletreeZou/Question-Pairs-Matching
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## CV
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1. Kaggle-TGS
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Rank1: http://t.cn/EzkDlOC
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Rank9: http://t.cn/EznzvYv
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Rank11:https://github.com/iasawseen/Kaggle-TGS-salt-solution
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Rank14:https://github.com/lRomul/argus-tgs-salt
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Rank15:https://github.com/adam9500370/Kaggle-TGS
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Rank22: http://t.cn/EzYkR6i
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Rank56 https://github.com/Gary-Deeplearning/TGS-Salt
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2. Kaggle Google地标检索
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Rank1: http://t.cn/R1i7Xiy
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Rank14： http://t.cn/R1nQriY
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3. Lyft感知挑战赛
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赛题： http://t.cn/RBtrJcE
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Rank4： http://t.cn/RBtrMdw
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http://t.cn/RBJnlug
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4. (Kaggle)CVPR 2018 WAD视频分割
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Rank2: http://t.cn/Ehp4Ggm
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5. Kaggle Google AI Open Images
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Rank15: http://t.cn/RF1jnis
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6. Quick, Draw! Kaggle Competition Starter Pack
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http://t.cn/EZAoZDM
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7. Kaggle植物幼苗图像分类挑战赛
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Rank1: http://t.cn/RBssjf6
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8. Kaggle Airbus Ship Detection Challenge (Kaggle卫星图像船舶检测比赛)
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Rank8: https://github.com/SeuTao/Kaggle_Airbus2018_8th_code
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Rank21:https://github.com/pascal1129/kaggle_airbus_ship_detection
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9. kaggle RSNA Pneumonia Detection
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Rank1:https://github.com/i-pan/kaggle-rsna18
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Rank2:https://github.com/SeuTao/Kaggle_TGS2018_4th_solution
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Rank3:https://github.com/pmcheng/rsna-pneumonia
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Rank6:https://github.com/pfnet-research/pfneumonia
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Rank10:https://github.com/alessonscap/rsna-challenge-2018
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10. kaggle Carvana Image Masking Challenge
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Rank1:https://github.com/asanakoy/kaggle_carvana_segmentation
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Rank3:https://github.com/lyakaap/Kaggle-Carvana-3rd-place-solution
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11. kaggle Statoil/C-CORE Iceberg Classifier Challenge
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Rank4: https://github.com/asydorchuk/kaggle/blob/master/statoil/README.md
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12. kaggle 2018 Data Science Bowl
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Rank1: https://github.com/selimsef/dsb2018_topcoders
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Rank2: https://github.com/jacobkie/2018DSB
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Rank3: https://github.com/Lopezurrutia/DSB_2018
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Rank4: https://github.com/pdima/kaggle_2018_data_science_bowl_solution
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Rank5: https://github.com/mirzaevinom/data_science_bowl_2018
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## 经验文章
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1. 介绍featexp 一个帮助理解特征的工具包 http://www.sohu.com/a/273552971_129720
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2. Ask Me Anything session with a Kaggle Grandmaster Vladimir I. Iglovikov
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PDF：https://pan.baidu.com/s/1XkFwko_YrI5TfjjIai7ONQ
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## 其它资源列表
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1. 数据比赛资讯：https://github.com/iphysresearch/DataSciComp
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2. Kaggle top方案整理：https://github.com/EliotAndres/kaggle-past-solutions
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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)
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## 大佬的Git
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1. 植物 ：https://github.com/plantsgo
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2. wepon ：https://github.com/wepe
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3. Snake：https://github.com/luoda888
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4. Drop-out：https://github.com/drop-out
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5. 金老师的知乎：https://zhuanlan.zhihu.com/jlbookworm
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6. 渣大：https://github.com/nzc
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7. 郭大：https://github.com/guoday
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