来源:https://github.com/apachecn/awesome-data-comp-solution

欢迎任何人参与和完善:一个人可以走的很快,但是一群人却可以走的更远

  1. 2019 腾讯广告算法大赛Rank1: https://github.com/guoday/Tencent2019_Preliminary_Rank1st
  2. 2019 CCF 乘用车细分市场销量预测EDA: http://lambda-xmu.club/2018/08/27/2019CCF-Car-Sales-EDA/Baseline 0.488: https://zhuanlan.zhihu.com/p/79940352Baseline 0.511: https://blog.csdn.net/weixin_43593330/article/details/100175414
  3. 2019 CCF 离散制造过程中典型工件的质量符合率预测EDA1: http://lambda-xmu.club/2018/08/25/2019CCF-Work-Piece-EDA/EDA2: http://lambda-xmu.club/2018/09/04/2019CCF-Work-Piece-EDA-Part2/Baseline 0.678: https://github.com/destiny19960207/CCF_BDCI2019_discrete-manufacturingBaseline 0.644: CCF2019-discrete-manufacturing/644baseline.py
  4. 2018 科大讯飞 AI 营销算法大赛Rank1: https://zhuanlan.zhihu.com/p/47807544Rank2: https://github.com/infturing/kdxfRank21: https://github.com/Michaelhuazhang/-AI21-
  5. 2018 IJCAI 阿里妈妈搜索广告转化预测Rank1: https://github.com/plantsgo/ijcai-2018Rank2:Rank3: https://github.com/luoda888/2018-IJCAI-top3Rank8: https://github.com/fanfanda/ijcai_2018Rank8: https://github.com/Gene20/IJCAI-18Rank9(第一赛季)https://github.com/yuxiaowww/IJCAI-18-TIANCHIRank29: https://github.com/bettenW/IJCAI18_Tianchi_Rank29Rank41: https://github.com/cmlaughing/IJCAI-18Rank48: https://github.com/YunaQiu/IJCAI-18alimamaRank53: https://github.com/altmanWang/IJCAI-18-CVRRank60: https://github.com/Chenyaorui/ijcai_2018Rank81: https://github.com/wzp123456/IJCAI_18Rank94: https://github.com/Yangtze121/-IJCAI-18-
  6. 2018 腾讯广告算法大赛Rank3: https://github.com/DiligentPanda/Tencent_Ads_Algo_2018rank6: https://github.com/nzc/tencent-contestRank7: https://github.com/guoday/Tencent2018_Lookalike_Rank7thRank9: https://github.com/ouwenjie03/tencent-ad-gameRank10: https://github.com/keyunluo/Tencent2018_Lookalike_Rank10thrank10(初赛): https://github.com/ShawnyXiao/2018-Tencent-LookalikeRank11:Rank26: https://github.com/zsyandjyhouse/TencentAD_contestRank33: https://github.com/John-Yao/Tencent_Social_Ads2018Rank69: https://github.com/BladeCoda/Tencent2018_Final_Phrase_Presto
  7. 2017 腾讯广告算法大赛Rank14: https://github.com/freelzy/Tencent_Social_AdsRank20: https://github.com/shenweichen/Tencent_Social_Ads2017_Mobile_App_pCVR
  8. 2018 高校大数据挑战赛-快手活跃用户预测Rank1:Rank4: https://github.com/chantcalf/2018-Rank4-Rank13 (初赛 a 榜 rank2 b 榜 rank5):Rank15: https://github.com/sunwantong/Kuaishou-Active-UserRank20: https://github.com/bigzhao/Kuaishou_2018_rank20thRank28 (初赛 a 榜 rank1 b 榜 rank2):Rank35: https://github.com/chizhu/kuaishou2018
  9. 2018JDATA 用户购买时间预测Rank9: https://zhuanlan.zhihu.com/p/45141799
  10. 2018 DF 风机叶片开裂预警Rank2: https://github.com/SY575/DF-Early-warning-of-the-wind-power-system
  11. 2018 DF 光伏发电量预测Rank1:
  12. 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
  13. 2016 融 360-用户贷款风险预测Rank7: https://github.com/hczheng/Rong360
  14. 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-solutionRank2: https://github.com/PandasCute/2018-CCF-BDCI-China-Unicom-Research-Institute-top2Rank4: https://github.com/jinchenyu/2018_CCF_BDCI_ChinaUicom_rank4_solutionRank6: https://github.com/ZengHaihong/2018_CCF_BDCI_ChinaUnicom_Package_Match_Rank6
  15. 2018 CCF-汽车行业用户观点主题及情感识别 ASC 挑战赛Rank1: https://github.com/yilirin/BDCI_Car_2018Rank7: https://github.com/nlpjoe/CCF-BDCI-Automotive-Field-ASC-2018
  16. 2017 CCF-商场中精确定位用户所在店铺Rank1: https://github.com/drop-out/Tianchi-Wifi-Positioning
  17. 2016 CCF-020 优惠券使用预测Rank1: https://github.com/wepe/O2O-Coupon-Usage-Forecast
  18. 2016 ccf-农产品价格预测Rank2: https://github.com/xing89qs/CCF_ProductRank35: https://github.com/wqlin/ccf-price-prediction
  19. 2016 ccf-客户用电异常Rank4: https://github.com/AbnerYang/2016CCF-StateGrid
  20. 2016 ccf-搜狗的用户画像比赛Rank1: https://github.com/hengchao0248/ccf2016_sougouRank3: https://github.com/AbnerYang/2016CCF-SouGouRank5:
  21. 2016 ccf-联通的用户轨迹RankX: https://github.com/xuguanggen/2016CCF-unicom
  22. 2016 ccf-Human or RobotsRank6: https://github.com/pickou/ccf_human_or_robot
  23. 菜鸟-需求预测与分仓规划Rank6: https://github.com/wepe/CaiNiao-DemandForecast-StoragePlaningRank10: https://github.com/xing89qs/TianChi_CaiNiao_Season2
  24. Kaggle 2018 Data Science BowRank1: https://www.kaggle.com/c/data-science-bowl-2018/discussion/54741Rank4:
  25. 2018 对抗挑战优胜经验分享
  26. Galaxy Zoo challengehttp://benanne.github.io/2014/04/05/galaxy-zoo.html
  27. Kaggle Home Credit 违约风险预测Rank1: http://t.cn/RFsoHgv
  28. Kaggle 2017 Santa competitionRank54: https://github.com/bigzhao/MPI-Hungarian-method
  29. Kaggle 2017 Porto Seguro’s Safe Driver PredictionRank131: https://bigzhao.github.io/2017/12/18/kaggle-silver/
  30. 第三届阿里云安全算法挑战赛Rank1: https://github.com/poteman/Alibaba-3rd-Security-Algorithm-Challenge
  31. 2018dc-新网银行杯Rank3: https://github.com/Smilexuhc/Xingwangbankcup-top3Rank4: https://github.com/TingNie/CreditForecast
  32. 2018 AI Challenger 全球 AI 挑战赛 - 细粒度用户评论情感分析Rank1: https://github.com/chenghuige/wenzhengRank16: https://github.com/xueyouluo/fsauor2018Rank17: https://github.com/BigHeartC/Al_challenger_2018_sentiment_analysis
  33. 第二届 “智慧中国杯” 数据科学大赛,首发皇包车(HI GUIDES)精品旅行服务成单预测竞赛Rank4: https://github.com/SunnyMarkLiu/Datacastle_Travel_Services_PredictRank?: https://github.com/zlxy9892/DC_hbc
  34. 2018 ATEC 蚂蚁金服 NLP 智能客服比赛Rank16: https://github.com/zle1992/atec
  35. 2018 ATEC 蚂蚁金服 NLP 蚂蚁金服金融大脑赛题Rank18: https://github.com/ziweipolaris/atec2018-nlp
  36. DataCastle-城市治理大数据应用创意方案赛Rank1: https://github.com/poteman/DataCastle-Urban-governance-competition
  37. Kaggle - Crowdflower Search Results RelevanceRank1: https://github.com/ChenglongChen/Kaggle_CrowdFlower
  38. 第三届融 360 天机智能金融算法挑战赛 - 特征挖掘Rank1: https://github.com/xSupervisedLearning/Rong360_feature_mining_1st_solution
  39. 2017 摩拜杯算法挑战赛Rank3: https://github.com/Magic-Bubble/Mobike
  40. DataFountain - 招商银行信用卡中心 消费金融场景下的用户购买预测Rank1: https://github.com/sunwantong/China-Merchants-Bank-credit-card-Cente-User-purchase-forecast
  41. 天池糖尿病血糖预测比赛 精准医疗Rank24: https://github.com/xingyuezhiji/Diabetes
  42. 第一届西安交通大学人工智能实践大赛(2018AI 实践大赛—图片文字识别)Rank1: https://github.com/yinchangchang/ocr_densenet
  43. 2019 KaggleDays Paris offline competition(Kaggle 产品销售额预测比赛优胜方案)Rank1: https://github.com/mxbi/kaggledays-paris
  44. 2019 Kaggle Freesound Audio TaggingRank1: https://github.com/qrfaction/1st-Freesound-Audio-Tagging-2019
  45. Kaggle iMaterialist (Fashion) 2019 at FGVC6Rank1: https://github.com/amirassov/kaggle-imaterialist

    NLP

  46. 2019 CCF 互联网新闻情感分析Baseline 0.801: https://github.com/finlay-liu/kaggle_publicBaseline 0.803: https://github.com/guoday/CCF-BDCI-Sentiment-Analysis-Baseline

  47. 2019 CCF 互联网金融新实体发现Baseline 0.2049: https://github.com/finlay-liu/kaggle_public/
  48. 2018 DC 达观-文本智能处理挑战Rank1: https://github.com/ShawnyXiao/2018-DC-DataGrand-TextIntelProcessRank2: https://github.com/CortexFoundation/-Rank4: https://github.com/hecongqing/2018-daguan-competitionRank8: https://github.com/Rowchen/Text-classifierRank10: https://github.com/moneyDboat/data_grandRank11: https://github.com/TianyuZhuuu/DaGuan_TextClassification_Rank11Rank18: https://github.com/nlpjoe/daguan-classify-2018RankX: https://github.com/yanqiangmiffy/daguan
  49. 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/paipaidairank12Rank16: https://github.com/guoday/PaiPaiDai2018_rank16Rank29: https://github.com/wangjiaxin24/daguan_NLP
  50. 2018JD Dialog Challenge 任务导向型对话系统挑战赛Rank2: https://github.com/Dikea/Dialog-System-with-Task-Retrieval-and-Seq2seqRank3: https://github.com/zengbin93/jddc_solution_4th
  51. 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/CloserRank12: https://github.com/Leputa/CIKM-AnalytiCup-2018Rank18: https://github.com/VincentChen525/Tianchi/tree/master/CIKM%20AnalytiCup%202018
  52. 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
  53. “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=2382Rank2: https://github.com/bigzhao/Keyword_ExtractionRank5: https://github.com/Dikea/ShenceCup.extract_keywords
  54. 知乎看山杯Rank1: https://github.com/chenyuntc/PyTorchTextRank2: https://github.com/Magic-Bubble/ZhihuRank6: https://github.com/yongyehuang/zhihu-text-classificationRank9: https://github.com/coderSkyChen/zhihu_kanshan_cup_2017Rank21: https://github.com/zhaoyu87/zhihu
  55. 2018 CCL 客服领域用户意图分类评测Rank1: https://github.com/nlpjoe/2018-CCL-UIIMCS
  56. 第二届搜狐内容识别大赛Rank1: https://github.com/zhanzecheng/SOHU_competition
  57. 科赛 - 百度 PaddlePaddle AI 大赛——智能问答Rank3: https://github.com/312shan/rc_tf
  58. 2018 kaggle quora insincere questions classificationRank1: https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80568Rank13: https://mp.weixin.qq.com/s/DD-BOtPbGCXvxfFxL-qOggRank153: https://github.com/jetou/kaggle-qiqc

    CV

  59. 2019 CCF 视频版权检测Baseline 0.0001: https://github.com/finlay-liu/kaggle_public

  60. Kaggle-TGSRank1: http://t.cn/EzkDlOCRank4:Rank9: http://t.cn/EznzvYvRank11: https://github.com/iasawseen/Kaggle-TGS-salt-solutionRank14: https://github.com/lRomul/argus-tgs-saltRank15: https://github.com/adam9500370/Kaggle-TGSRank22: http://t.cn/EzYkR6iRank56: https://github.com/Gary-Deeplearning/TGS-Salt
  61. Kaggle Google 地标检索Rank1: http://t.cn/R1i7XiyRank14: http://t.cn/R1nQriY
  62. Lyft 感知挑战赛赛题: http://t.cn/RBtrJcERank4:
  63. Kaggle CVPR 2018 WAD 视频分割Rank2: http://t.cn/Ehp4Ggm
  64. Kaggle Google AI Open ImagesRank15: http://t.cn/RF1jnis
  65. Quick, Draw! Kaggle Competition Starter Packhttp://t.cn/EZAoZDM
  66. Kaggle 植物幼苗图像分类挑战赛Rank1: http://t.cn/RBssjf6
  67. Kaggle Airbus Ship Detection Challenge (Kaggle 卫星图像船舶检测比赛)Rank8: https://github.com/SeuTao/Kaggle_Airbus2018_8th_codeRank21: https://github.com/pascal1129/kaggle_airbus_ship_detection
  68. kaggle RSNA Pneumonia DetectionRank1: https://github.com/i-pan/kaggle-rsna18Rank2: https://github.com/SeuTao/Kaggle_TGS2018_4th_solutionRank3: https://github.com/pmcheng/rsna-pneumoniaRank6: https://github.com/pfnet-research/pfneumoniaRank10: https://github.com/alessonscap/rsna-challenge-2018
  69. Kaggle PLAsTiCC Astronomical Classification Competition(PLAsTiCC 天文分类比赛)Rank1: https://www.kaggle.com/c/PLAsTiCC-2018/discussion/75033Rank2: https://www.kaggle.com/c/PLAsTiCC-2018/discussion/75059Rank3:Rank4: https://github.com/aerdem4/kaggle-plasticcRank5: https://www.kaggle.com/c/PLAsTiCC-2018/discussion/75040
  70. Kaggle Human Protein Atlas Image Classification Challenge(Kaggle 人类蛋白质图谱图像分类比赛)Rank3: https://github.com/pudae/kaggle-hpa
  71. SpaceNet Challenge Round 4: Off-Nadir Buildings(SpaceNet 挑战卫星图片建筑物识别)RankX: https://github.com/SpaceNetChallenge/SpaceNet_Off_Nadir_Solutions
  72. Kaggle Humpback Whale Identification Challenge(Kaggle 座头鲸识别比赛)Rank1: https://github.com/earhian/Humpback-Whale-Identification-1st-Rank7: https://medium.com/@ducha.aiki/thanks-radek-7th-place-solution-to-hwi-2019-competition-738624e4c885
  73. kaggle Carvana Image Masking ChallengeRank1:https://github.com/asanakoy/kaggle_carvana_segmentationRank3:https://github.com/lyakaap/Kaggle-Carvana-3rd-place-solution
  74. kaggle Statoil/C-CORE Iceberg Classifier ChallengeRank4: https://github.com/asydorchuk/kaggle/blob/master/statoil/README.md
  75. kaggle 2018 Data Science BowlRank1: https://github.com/selimsef/dsb2018_topcodersRank2: https://github.com/jacobkie/2018DSBRank3: https://github.com/Lopezurrutia/DSB_2018Rank4: https://github.com/pdima/kaggle_2018_data_science_bowl_solutionRank5: https://github.com/mirzaevinom/data_science_bowl_2018

    其它资源列表

  76. DataSciComp 数据比赛资讯

  77. ApacheCN 的 kaggle 资料链接
  78. Kaggle top 方案整理
  79. Data competition Top Solution 数据竞赛 Top 解决方案开源整理
  80. 介绍 featexp 一个帮助理解特征的工具包
  81. Ask Me Anything session with a Kaggle Grandmaster Vladimir I. Iglovikov PDF
  82. Owen Zhang 访谈: Kaggle 制胜的秘密
  83. How to Compete for Zillow Prize at Kaggle
  84. Profiling Top Kagglers: Martin Henze
  85. Kaggle 数据科学词汇表
  86. Kaggle 比赛优胜方案汇总
  87. Kaggle 比赛实战教程(Pandas, Matplotlib, XGBoost/Colab)
  88. llSourcell/kaggle_challenge
  89. Kaggle 看照片猜相机比赛心得分享 PDF
  90. Kaggle 在线分类广告需求预测比赛优胜方案分享
  91. Kaggle | Winner Interview
  92. 2018 NIPS 视觉对抗挑战总结

    大佬的 Git

  93. 植物: https://github.com/plantsgo

  94. wepon: https://github.com/wepe
  95. Snake: https://github.com/luoda888
  96. Drop-out: https://github.com/drop-out
  97. 金老师的知乎: https://zhuanlan.zhihu.com/jlbookworm
  98. 渣大: https://github.com/nzc
  99. 郭大: https://github.com/guoday
  100. Cortex Lab: https://github.com/CortexFoundation

    贡献者