数据科学/人工智能比赛解决方案汇总 2019.9

内容来自 apachecn/awesome-data-comp-solution，由 ApacheCN 团队维护。

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结构化数据/时间序列

1. 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/79940352

   Baseline 0.511: https://blog.youkuaiyun.com/weixin_43593330/article/details/100175414

2. 2019 CCF 离散制造过程中典型工件的质量符合率预测

   EDA: http://lambda-xmu.club/2018/08/25/2019CCF-Work-Piece-EDA/

   Baseline 0.6777: https://github.com/destiny19960207/CCF_BDCI2019_discrete-manufacturing

   Baseline 0.644: CCF2019-discrete-manufacturing/644baseline.py

3. 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-

4. 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.youkuaiyun.com/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-

5. 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

6. 2017 腾讯广告算法大赛

   Rank14: https://github.com/freelzy/Tencent_Social_Ads

   Rank20: https://github.com/shenweichen/Tencent_Social_Ads2017_Mobile_App_pCVR

7. 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

8. 2018JDATA 用户购买时间预测

   Rank9: https://zhuanlan.zhihu.com/p/45141799

9. 2018 DF 风机叶片开裂预警

   Rank2: https://github.com/SY575/DF-Early-warning-of-the-wind-power-system

10. 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

11. 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

12. 2016 融 360-用户贷款风险预测

    Rank7: https://github.com/hczheng/Rong360

13. 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

    Rank4: https://github.com/jinchenyu/2018_CCF_BDCI_ChinaUicom_rank4_solution

    Rank6: https://github.com/ZengHaihong/2018_CCF_BDCI_ChinaUnicom_Package_Match_Rank6

14. 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_2018

    Rank7: https://github.com/nlpjoe/CCF-BDCI-Automotive-Field-ASC-2018

15. 2017 CCF-商场中精确定位用户所在店铺

    Rank1: https://github.com/drop-out/Tianchi-Wifi-Positioning

16. 2016 CCF-020 优惠券使用预测

    Rank1: https://github.com/wepe/O2O-Coupon-Usage-Forecast

17. 2016 ccf-农产品价格预测

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

    Rank35: https://github.com/wqlin/ccf-price-prediction

18. 2016 ccf-客户用电异常

    Rank4: https://github.com/AbnerYang/2016CCF-StateGrid

19. 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

20. 2016 ccf-联通的用户轨迹

    RankX: https://github.com/xuguanggen/2016CCF-unicom

21. 2016 ccf-Human or Robots

    Rank6: https://github.com/pickou/ccf_human_or_robot

22. 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

23. 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

    • https://github.com/pdima/kaggle_2018_data_science_bowl_solution

24. 2018 对抗挑战优胜经验分享

    • http://t.cn/RBMaq4y

    • http://t.cn/RBMlfBH

25. Galaxy Zoo challenge

    http://benanne.github.io/2014/04/05/galaxy-zoo.html

26. Kaggle Home Credit 违约风险预测

    Rank1: http://t.cn/RFsoHgv

27. Kaggle 2017 Santa competition

    Rank54: https://github.com/bigzhao/MPI-Hungarian-method

28. Kaggle 2017 Porto Seguro’s Safe Driver Prediction

    Rank131: https://bigzhao.github.io/2017/12/18/kaggle-silver/

29. 第三届阿里云安全算法挑战赛

    Rank1: https://github.com/poteman/Alibaba-3rd-Security-Algorithm-Challenge

30. 2018dc-新网银行杯

    Rank3: https://github.com/Smilexuhc/Xingwangbankcup-top3

    Rank4: https://github.com/TingNie/CreditForecast

31. 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/wenzheng

    Rank16: https://github.com/xueyouluo/fsauor2018

    Rank17: https://github.com/BigHeartC/Al_challenger_2018_sentiment_analysis

32. 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_Predict

    Rank?: https://github.com/zlxy9892/DC_hbc

33. 2018 ATEC 蚂蚁金服 NLP 智能客服比赛

    Rank16: https://github.com/zle1992/atec

34. 2018 ATEC 蚂蚁金服 NLP 蚂蚁金服金融大脑赛题

    Rank18: https://github.com/ziweipolaris/atec2018-nlp

35. DataCastle-城市治理大数据应用创意方案赛

    Rank1: https://github.com/poteman/DataCastle-Urban-governance-competition

36. Kaggle - Crowdflower Search Results Relevance

    Rank1: https://github.com/ChenglongChen/Kaggle_CrowdFlower

37. 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

38. 2017 摩拜杯算法挑战赛

    Rank3: https://github.com/Magic-Bubble/Mobike

39. 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

40. 天池糖尿病血糖预测比赛 精准医疗

    Rank24: https://github.com/xingyuezhiji/Diabetes

41. 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

42. 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

43. 2019 Kaggle Freesound Audio Tagging

    Rank1: https://github.com/qrfaction/1st-Freesound-Audio-Tagging-2019

44. Kaggle iMaterialist (Fashion) 2019 at FGVC6

    Rank1: https://github.com/amirassov/kaggle-imaterialist

NLP

1. 2019 CCF 互联网新闻情感分析

   Baseline 0.801: https://github.com/finlay-liu/kaggle_public

   Baseline 0.803: https://github.com/guoday/CCF-BDCI-Sentiment-Analysis-Baseline

2. 2019 CCF 互联网金融新实体发现

   Baseline 0.2049: https://github.com/finlay-liu/kaggle_public/

3. 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

4. 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

5. 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-Seq2seq

   Rank3: https://github.com/zengbin93/jddc_solution_4th

6. 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

7. 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

8. “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

9. 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

10. 2018 CCL 客服领域用户意图分类评测

    Rank1: https://github.com/nlpjoe/2018-CCL-UIIMCS

11. 第二届搜狐内容识别大赛

    Rank1: https://github.com/zhanzecheng/SOHU_competition

12. 科赛 - 百度 PaddlePaddle AI 大赛——智能问答

    Rank3: https://github.com/312shan/rc_tf

13. 2018 kaggle quora insincere questions classification

    Rank1: https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80568

    Rank13: https://mp.weixin.qq.com/s/DD-BOtPbGCXvxfFxL-qOgg

    Rank153: https://github.com/jetou/kaggle-qiqc

CV

1. 2019 CCF 视频版权检测

   Baseline 0.0001: https://github.com/finlay-liu/kaggle_public

2. Kaggle-TGS

   Rank1: http://t.cn/EzkDlOC

   Rank4:

   • http://t.cn/EzuvemA

   • http://t.cn/EzuPvfp

   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

3. Kaggle Google 地标检索

   Rank1: http://t.cn/R1i7Xiy

   Rank14: http://t.cn/R1nQriY

4. Lyft 感知挑战赛

   赛题: http://t.cn/RBtrJcE

   Rank4:

   • http://t.cn/RBtrMdw

   • http://t.cn/RBJnlug

5. Kaggle CVPR 2018 WAD 视频分割

   Rank2: http://t.cn/Ehp4Ggm

6. Kaggle Google AI Open Images

   Rank15: http://t.cn/RF1jnis

7. Quick, Draw! Kaggle Competition Starter Pack

   http://t.cn/EZAoZDM

8. Kaggle 植物幼苗图像分类挑战赛

   Rank1: http://t.cn/RBssjf6

9. 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

10. 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

11. Kaggle PLAsTiCC Astronomical Classification Competition（PLAsTiCC 天文分类比赛）

    Rank1: https://www.kaggle.com/c/PLAsTiCC-2018/discussion/75033

    Rank2: https://www.kaggle.com/c/PLAsTiCC-2018/discussion/75059

    Rank3:

    • https://www.kaggle.com/c/PLAsTiCC-2018/discussion/75116

    • https://www.kaggle.com/c/PLAsTiCC-2018/discussion/75131

    • https://www.kaggle.com/c/PLAsTiCC-2018/discussion/75222

    Rank4: https://github.com/aerdem4/kaggle-plasticc

    Rank5: https://www.kaggle.com/c/PLAsTiCC-2018/discussion/75040

12. 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

13. 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

14. 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

15. kaggle Carvana Image Masking Challenge

    Rank1:https://github.com/asanakoy/kaggle_carvana_segmentation

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

16. kaggle Statoil/C-CORE Iceberg Classifier Challenge

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

17. 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

其它资源列表

1. DataSciComp 数据比赛资讯

2. ApacheCN 的 kaggle 资料链接

3. Kaggle top 方案整理

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

5. 介绍 featexp 一个帮助理解特征的工具包

6. Ask Me Anything session with a Kaggle Grandmaster Vladimir I. Iglovikov PDF

7. Owen Zhang 访谈: Kaggle 制胜的秘密

8. How to Compete for Zillow Prize at Kaggle

9. Profiling Top Kagglers: Martin Henze

10. Kaggle 数据科学词汇表

11. Kaggle 比赛优胜方案汇总

12. Kaggle 比赛实战教程(Pandas, Matplotlib, XGBoost/Colab)

13. llSourcell/kaggle_challenge

14. Kaggle 看照片猜相机比赛心得分享 PDF

15. Kaggle 在线分类广告需求预测比赛优胜方案分享

16. Kaggle | Winner Interview

17. 2018 NIPS 视觉对抗挑战总结

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
8. Cortex Lab: https://github.com/CortexFoundation

贡献者

• Smile
• 飞龙
• SlideLucask
• 知识星球: Kaggle 数据竞赛免费版