【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。

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

详细请点击阅读原文查看github项目主页。