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数据科学/人工智能比赛解决方案汇总 2019.9

2019-09-27 10:52 作者:绝不原创的飞龙  | 我要投稿
内容来自 apachecn/awesome-data-comp-solution（https://github.com/apachecn/awesome-data-comp-solution/blob/master/README.md），由 ApacheCN 团队维护。
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

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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

  2. EDA: http://lambda-xmu.club/2018/08/27/2019CCF-Car-Sales-EDA/

  3. Baseline 0.488: https://zhuanlan.zhihu.com/p/79940352

  4. Baseline 0.511: https://blog.csdn.net/weixin_43593330/article/details/100175414

  5. 2019 CCF 离散制造过程中典型工件的质量符合率预测

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

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

  8. Baseline 0.644: CCF2019-discrete-manufacturing/644baseline.py（https://github.com/apachecn/awesome-data-comp-solution/blob/master/src/CCF2019-discrete-manufacturing/644baseline.py）

  9. 2018 科大讯飞 AI 营销算法大赛

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

  11. Rank2: https://github.com/infturing/kdxf

  12. Rank21: https://github.com/Michaelhuazhang/-AI21-

  13. 2018 IJCAI 阿里妈妈搜索广告转化预测

  14. Rank1: https://github.com/plantsgo/ijcai-2018

  15. Rank2:

  • https://github.com/YouChouNoBB/ijcai-18-top2-single-mole-solution

  • https://blog.csdn.net/Bryan__/article/details/80600189

  1. Rank3: https://github.com/luoda888/2018-IJCAI-top3

  2. Rank8: https://github.com/fanfanda/ijcai_2018

  3. Rank8: https://github.com/Gene20/IJCAI-18

  4. Rank9（第一赛季）https://github.com/yuxiaowww/IJCAI-18-TIANCHI

  5. Rank29: https://github.com/bettenW/IJCAI18_Tianchi_Rank29

  6. Rank41: https://github.com/cmlaughing/IJCAI-18

  7. Rank48: https://github.com/YunaQiu/IJCAI-18alimama

  8. Rank53: https://github.com/altmanWang/IJCAI-18-CVR

  9. Rank60: https://github.com/Chenyaorui/ijcai_2018

  10. Rank81: https://github.com/wzp123456/IJCAI_18

  11. Rank94: https://github.com/Yangtze121/-IJCAI-18-

  12. 2018 腾讯广告算法大赛

  13. Rank3: https://github.com/DiligentPanda/Tencent_Ads_Algo_2018

  14. rank6: https://github.com/nzc/tencent-contest

  15. Rank7: https://github.com/guoday/Tencent2018_Lookalike_Rank7th

  16. Rank9: https://github.com/ouwenjie03/tencent-ad-game

  17. Rank10: https://github.com/keyunluo/Tencent2018_Lookalike_Rank10th

  18. rank10（初赛）: https://github.com/ShawnyXiao/2018-Tencent-Lookalike

  19. Rank11:

  • https://github.com/liupengsay/2018-Tencent-social-advertising-algorithm-contest

  • https://my.oschina.net/xtzggbmkk/blog/1865680

  1. Rank26: https://github.com/zsyandjyhouse/TencentAD_contest

  2. Rank33: https://github.com/John-Yao/Tencent_Social_Ads2018

  3. Rank69: https://github.com/BladeCoda/Tencent2018_Final_Phrase_Presto

  4. 2017 腾讯广告算法大赛

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

  6. 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

  8. Rank1:

  • https://github.com/drop-out/RNN-Active-User-Forecast

  • https://zhuanlan.zhihu.com/p/42622063

  1. Rank4: https://github.com/chantcalf/2018-Rank4-

  2. 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

  1. Rank15: https://github.com/sunwantong/Kuaishou-Active-User

  2. Rank20: https://github.com/bigzhao/Kuaishou_2018_rank20th

  3. 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

  1. Rank35: https://github.com/chizhu/kuaishou2018

  2. 2018JDATA 用户购买时间预测

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

  4. 2018 DF 风机叶片开裂预警

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

  6. 2018 DF 光伏发电量预测

  7. Rank1:

  • https://zhuanlan.zhihu.com/p/44755488?utm_source=qq&utm_medium=social&utm_oi=623925402599559168

  • https://mp.weixin.qq.com/s/Yix0xVp2SiqaAcuS6Q049g

  1. AI 全球挑战者大赛-违约用户风险预测

  2. Rank1: https://github.com/chenkkkk/User-loan-risk-prediction

  3. 2016 融 360-用户贷款风险预测

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

  5. 2018 CCF-面向电信行业存量用户的智能套餐个性化匹配模型

  6. Rank1: https://github.com/PPshrimpGo/BDCI2018-ChinauUicom-1st-solution

  7. Rank2: https://github.com/PandasCute/2018-CCF-BDCI-China-Unicom-Research-Institute-top2

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

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

  10. 2018 CCF-汽车行业用户观点主题及情感识别 ASC 挑战赛

  11. Rank1: https://github.com/yilirin/BDCI_Car_2018

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

  13. 2017 CCF-商场中精确定位用户所在店铺

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

  15. 2016 CCF-020 优惠券使用预测

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

  17. 2016 ccf-农产品价格预测

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

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

  20. 2016 ccf-客户用电异常

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

  22. 2016 ccf-搜狗的用户画像比赛

  23. Rank1: https://github.com/hengchao0248/ccf2016_sougou

  24. Rank3: https://github.com/AbnerYang/2016CCF-SouGou

  25. 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

  1. 2016 ccf-联通的用户轨迹

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

  3. 2016 ccf-Human or Robots

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

  5. 菜鸟-需求预测与分仓规划

  6. Rank6: https://github.com/wepe/CaiNiao-DemandForecast-StoragePlaning

  7. Rank10: https://github.com/xing89qs/TianChi_CaiNiao_Season2

  8. Kaggle 2018 Data Science Bow

  9. Rank1: https://www.kaggle.com/c/data-science-bowl-2018/discussion/54741

  10. Rank4:

  • https://www.kaggle.com/c/data-science-bowl-2018/discussion/55118

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

  1. 2018 对抗挑战优胜经验分享

  • t.cn/RBMaq4y

  • t.cn/RBMlfBH

  1. Galaxy Zoo challenge

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

  3. Kaggle Home Credit 违约风险预测

  4. Rank1: t.cn/RFsoHgv

  5. Kaggle 2017 Santa competition

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

  7. Kaggle 2017 Porto Seguro’s Safe Driver Prediction

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

  9. 第三届阿里云安全算法挑战赛

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

  11. 2018dc-新网银行杯

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

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

  14. 2018 AI Challenger 全球 AI 挑战赛 - 细粒度用户评论情感分析

  15. Rank1: https://github.com/chenghuige/wenzheng

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

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

  18. 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

  19. Rank4: https://github.com/SunnyMarkLiu/Datacastle_Travel_Services_Predict

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

  21. 2018 ATEC 蚂蚁金服 NLP 智能客服比赛

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

  23. 2018 ATEC 蚂蚁金服 NLP 蚂蚁金服金融大脑赛题

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

  25. DataCastle-城市治理大数据应用创意方案赛

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

  27. Kaggle - Crowdflower Search Results Relevance

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

  29. 第三届融 360 天机智能金融算法挑战赛 - 特征挖掘

  30. Rank1: https://github.com/xSupervisedLearning/Rong360_feature_mining_1st_solution

  31. 2017 摩拜杯算法挑战赛

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

  33. DataFountain - 招商银行信用卡中心 消费金融场景下的用户购买预测

  34. Rank1: https://github.com/sunwantong/China-Merchants-Bank-credit-card-Cente-User-purchase-forecast

  35. 天池糖尿病血糖预测比赛 精准医疗

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

  37. 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）

  38. Rank1: https://github.com/yinchangchang/ocr_densenet

  39. 2019 KaggleDays Paris offline competition（Kaggle 产品销售额预测比赛优胜方案）

  40. Rank1: https://github.com/mxbi/kaggledays-paris

  41. 2019 Kaggle Freesound Audio Tagging

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

  43. Kaggle iMaterialist (Fashion) 2019 at FGVC6

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

NLP

  1. 2019 CCF 互联网新闻情感分析

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

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

  4. 2019 CCF 互联网金融新实体发现

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

  6. 2018 DC 达观-文本智能处理挑战

  7. Rank1: https://github.com/ShawnyXiao/2018-DC-DataGrand-TextIntelProcess

  8. Rank2: https://github.com/CortexFoundation/-

  9. Rank4: https://github.com/hecongqing/2018-daguan-competition

  10. Rank8: https://github.com/Rowchen/Text-classifier

  11. Rank10: https://github.com/moneyDboat/data_grand

  12. Rank11: https://github.com/TianyuZhuuu/DaGuan_TextClassification_Rank11

  13. Rank18: https://github.com/nlpjoe/daguan-classify-2018

  14. RankX: https://github.com/yanqiangmiffy/daguan

  15. 智能客服问题相似度算法设计——第三届魔镜杯大赛

  16. rank6 https://github.com/qrfaction/paipaidai

  17. rank12

  • https://www.jianshu.com/p/827dd447daf9

  • https://github.com/LittletreeZou/Question-Pairs-Matching

  1. Rank16: https://github.com/guoday/PaiPaiDai2018_rank16

  2. Rank29: https://github.com/wangjiaxin24/daguan_NLP

  3. 2018JD Dialog Challenge 任务导向型对话系统挑战赛

  4. Rank2: https://github.com/Dikea/Dialog-System-with-Task-Retrieval-and-Seq2seq

  5. 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

  7. Rank2: https://github.com/zake7749/Closer

  8. Rank12: https://github.com/Leputa/CIKM-AnalytiCup-2018

  9. Rank18: https://github.com/VincentChen525/Tianchi/tree/master/CIKM AnalytiCup 2018

  10. 路透社新闻数据集“深度”探索性分析(词向量/情感分析)

  11. https://www.kaggle.com/hoonkeng/deep-eda-word-embeddings-sentiment-analysis/notebook

  12. “神策杯”2018 高校算法大师赛(关键词提取)

  13. Rank1: http://www.dcjingsai.com/common/bbs/topicDetails.html?tid=2382

  14. Rank2: https://github.com/bigzhao/Keyword_Extraction

  15. Rank5: https://github.com/Dikea/ShenceCup.extract_keywords

  16. 知乎看山杯

  17. Rank1: https://github.com/chenyuntc/PyTorchText

  18. Rank2: https://github.com/Magic-Bubble/Zhihu

  19. Rank6: https://github.com/yongyehuang/zhihu-text-classification

  20. Rank9: https://github.com/coderSkyChen/zhihu_kanshan_cup_2017

  21. Rank21: https://github.com/zhaoyu87/zhihu

  22. 2018 CCL 客服领域用户意图分类评测

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

  24. 第二届搜狐内容识别大赛

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

  26. 科赛 - 百度 PaddlePaddle AI 大赛——智能问答

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

  28. 2018 kaggle quora insincere questions classification

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

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

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

CV

  1. 2019 CCF 视频版权检测

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

  3. Kaggle-TGS

  4. Rank1: t.cn/EzkDlOC

  5. Rank4:

  • t.cn/EzuvemA

  • t.cn/EzuPvfp

  1. Rank9: t.cn/EznzvYv

  2. Rank11: https://github.com/iasawseen/Kaggle-TGS-salt-solution

  3. Rank14: https://github.com/lRomul/argus-tgs-salt

  4. Rank15: https://github.com/adam9500370/Kaggle-TGS

  5. Rank22: t.cn/EzYkR6i

  6. Rank56: https://github.com/Gary-Deeplearning/TGS-Salt

  7. Kaggle Google 地标检索

  8. Rank1: t.cn/R1i7Xiy

  9. Rank14: t.cn/R1nQriY

  10. Lyft 感知挑战赛

  11. 赛题: t.cn/RBtrJcE

  12. Rank4:

  • t.cn/RBtrMdw

  • t.cn/RBJnlug

  1. Kaggle CVPR 2018 WAD 视频分割

  2. Rank2: t.cn/Ehp4Ggm

  3. Kaggle Google AI Open Images

  4. Rank15: t.cn/RF1jnis

  5. Quick, Draw! Kaggle Competition Starter Pack

  6. t.cn/EZAoZDM

  7. Kaggle 植物幼苗图像分类挑战赛

  8. Rank1: t.cn/RBssjf6

  9. Kaggle Airbus Ship Detection Challenge (Kaggle 卫星图像船舶检测比赛)

  10. Rank8: https://github.com/SeuTao/Kaggle_Airbus2018_8th_code

  11. Rank21: https://github.com/pascal1129/kaggle_airbus_ship_detection

  12. kaggle RSNA Pneumonia Detection

  13. Rank1: https://github.com/i-pan/kaggle-rsna18

  14. Rank2: https://github.com/SeuTao/Kaggle_TGS2018_4th_solution

  15. Rank3: https://github.com/pmcheng/rsna-pneumonia

  16. Rank6: https://github.com/pfnet-research/pfneumonia

  17. Rank10: https://github.com/alessonscap/rsna-challenge-2018

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

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

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

  21. 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

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

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

  3. Kaggle Human Protein Atlas Image Classification Challenge（Kaggle 人类蛋白质图谱图像分类比赛）

  4. Rank3: https://github.com/pudae/kaggle-hpa

  5. SpaceNet Challenge Round 4: Off-Nadir Buildings（SpaceNet 挑战卫星图片建筑物识别）

  6. RankX: https://github.com/SpaceNetChallenge/SpaceNet_Off_Nadir_Solutions

  7. Kaggle Humpback Whale Identification Challenge（Kaggle 座头鲸识别比赛）

  8. Rank1: https://github.com/earhian/Humpback-Whale-Identification-1st-

  9. Rank7: https://medium.com/@ducha.aiki/thanks-radek-7th-place-solution-to-hwi-2019-competition-738624e4c885

  10. kaggle Carvana Image Masking Challenge

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

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

  13. kaggle Statoil/C-CORE Iceberg Classifier Challenge

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

  15. kaggle 2018 Data Science Bowl

  16. Rank1: https://github.com/selimsef/dsb2018_topcoders

  17. Rank2: https://github.com/jacobkie/2018DSB

  18. Rank3: https://github.com/Lopezurrutia/DSB_2018

  19. Rank4: https://github.com/pdima/kaggle_2018_data_science_bowl_solution

  20. Rank5: https://github.com/mirzaevinom/data_science_bowl_2018

其它资源列表

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

  2. ApacheCN 的 kaggle 资料链接（https://github.com/apachecn/kaggle）

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

  4. Data competition Top Solution 数据竞赛 Top 解决方案开源整理（https://github.com/Smilexuhc/Data-Competition-TopSolution）

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

  6. Ask Me Anything session with a Kaggle Grandmaster Vladimir I. Iglovikov（t.cn/Eww4nnu） PDF（https://pan.baidu.com/s/1XkFwko_YrI5TfjjIai7ONQ）

  7. Owen Zhang 访谈: Kaggle 制胜的秘密（t.cn/RBzPcyg）

  8. How to Compete for Zillow Prize at Kaggle（https://www.datasciencecentral.com/profiles/blogs/how-to-compete-for-zillow-prize-at-kaggle）

  9. Profiling Top Kagglers: Martin Henze（http://blog.kaggle.com/2018/06/19/tales-from-my-first-year-inside-the-head-of-a-recent-kaggle-addict/）

  10. Kaggle 数据科学词汇表（t.cn/Rdx72Cn）

  11. Kaggle 比赛优胜方案汇总（t.cn/Rdkj3Co）

  12. Kaggle 比赛实战教程(Pandas, Matplotlib, XGBoost/Colab)（t.cn/ReIJOX0）

  13. llSourcell/kaggle_challenge（t.cn/ReIJOXK）

  14. Kaggle 看照片猜相机比赛心得分享（t.cn/Rkz5Q9y） PDF（t.cn/Rkz5Q9L）

  15. Kaggle 在线分类广告需求预测比赛优胜方案分享（t.cn/RFpQg9O）

  16. Kaggle | Winner Interview （http://blog.kaggle.com/2018/09/14/pei-lien-chou/）

  17. 2018 NIPS 视觉对抗挑战总结（t.cn/EAMqw0P）

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（https://github.com/Smilexuhc）

  • 飞龙（https://github.com/wizardforcel）

  • SlideLucask（https://github.com/SlideLucask）

  • 知识星球: Kaggle 数据竞赛免费版（https://t.zsxq.com/IAQvF2F）


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