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【Github】Data Competition Top Solution: 数据竞赛top解决方案开源整理

AINLP 2020-10-22

推荐一个Github项目:Smilexuhc/Data-Competition-TopSolution


此项目是数据竞赛Top解决方案开源整理,包含了很多知名比赛的TOP方案。推荐Star,项目链接,点击阅读原文可以直达:


https://github.com/Smilexuhc/Data-Competition-TopSolution


以下来在该项目主页描述。



一、数据竞赛:

  1. 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-

  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.csdnnet/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. 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

  5. 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

  6. 2018JDATA 用户购买时间预测
    Rank9:https://zhuanlan.zhihu.com/p/45141799

  7. 2018 DF风机叶片开裂预警
    Rank2:https://github.com/SY575/DF-Early-warning-of-the-wind-power-system

  8. 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

  9. 智慧金融马上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

  10. 2016融360-用户贷款风险预测
    Rank7:https://github.com/hczheng/Rong360

...

二、NLP:

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. “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

  7. 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

  8. 2018 CCL 客服领域用户意图分类评测
    Rank1:https://github.com/nlpjoe/2018-CCL-UIIMCS

  9. 第二届搜狐内容识别大赛
    Rank1:https://github.com/zhanzecheng/SOHU_competition

  10. 科赛 - 百度 PaddlePaddle AI 大赛——智能问答
    Rank3:https://github.com/312shan/rc_tf

  11. 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

三、CV:

  1. 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 Rank15:https://github.com/adam9500370/Kaggle-TGS Rank22: http://t.cn/EzYkR6i
    Rank56 https://github.com/Gary-Deeplearning/TGS-Salt

  2. Kaggle Google地标检索
    Rank1: http://t.cn/R1i7Xiy
    Rank14:http://t.cn/R1nQriY

  3. Lyft感知挑战赛
    赛题:http://t.cn/RBtrJcE
    Rank4:http://t.cn/RBtrMdw
    http://t.cn/RBJnlug

  4. (Kaggle)CVPR 2018 WAD视频分割
    Rank2: http://t.cn/Ehp4Ggm

  5. Kaggle Google AI Open Images
    Rank15: http://t.cn/RF1jnis

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

  7. Kaggle植物幼苗图像分类挑战赛
    Rank1: http://t.cn/RBssjf6

  8. 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

  9. 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

  10. 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

  11. 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

  12. SpaceNet Challenge Round 4: Off-Nadir Buildings(SpaceNet挑战卫星图片建筑物识别)
    Rank*: https://github.com/SpaceNetChallenge/SpaceNet_Off_Nadir_Solutions

  13. 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

四、大佬的Github:

  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

五、资源整理:

  • 数据比赛资讯:https://github.com/iphysresearch/DataSciComp

  • ApacheCN 的kaggle资料链接:https://github.com/apachecn/kaggle

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

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

  • Ask Me Anything session with a Kaggle Grandmaster Vladimir I. Iglovikov PDF:https://pan.baidu.com/s/1XkFwko_YrI5TfjjIai7ONQ

  • Owen Zhang访谈:Kaggle制胜的秘密 http://t.cn/RBzPcyg

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

  • 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/

  • Kaggle数据科学词汇表 http://t.cn/Rdx72Cn

  • Kaggle比赛优胜方案汇总 http://t.cn/Rdkj3Co

  • Kaggle比赛实战教程(Pandas, Matplotlib, XGBoost/Colab) http://t.cn/ReIJOX0
    http://t.cn/ReIJOXK

  • Kaggle看照片猜相机比赛心得分享 http://t.cn/Rkz5Q9y pdf:http://t.cn/Rkz5Q9L

  • Kaggle在线分类广告需求预测比赛优胜方案分享 http://t.cn/RFpQg9O

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

  • Ask Me Anything session with a Kaggle Grandmaster Vladimir I. Iglovikov http://t.cn/Eww4nnu

  • 2018 NIPS视觉对抗挑战总结 http://t.cn/EAMqw0P

六、数据集:

【开放数据集大列表】《Open Datasets | Skymind》 http://t.cn/RFAoweW

【数据集搜索引擎:Google启动新搜索引擎帮助科学家找到需要的数据集】http://t.cn/RsAHucPhttps://www.blog.google/products/search/making-it-easier-discover-datasets/
Dataset Search:http://t.cn/RsAHuch

【fast.ai开放数据集】“fast.ai Datasets” http://t.cn/Ezzp51m ref:《The new fast.ai research datasets collection, on AWS Open Data》 http://t.cn/EzzpXQ5 种子来了 http://t.cn/EzA7XpZ

【计算机视觉“小众”数据集集锦】《Rare Datasets for Computer Vision Every Machine Learning Expert Must Work With》 http://t.cn/EZE9Vb7

PS: 特别感谢金老师对整理比赛开源已做出的贡献,特别是在2016年的ccf大赛中 团队联系方式:
Smile qq:240485545 Email:smile.xuhc@gmail.com
PUSH qq:1471386635 Email:1471386635@qq.com
dive2space qq: 1124361357 Email:dive2space@qq.com
Jean_V qq:2398963799 Email:jianwu925@qq.com




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