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

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。

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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:[e-mail]
PUSH qq:1471386635 Email:[e-mail]
dive2space qq: 1124361357 Email:[e-mail]
Jean_V qq:2398963799 Email:[e-mail]

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详细请点击阅读原文查看github项目主页。