# awesome-data-comp-solution **Repository Path**: kevingop/awesome-data-comp-solution ## Basic Information - **Project Name**: awesome-data-comp-solution - **Description**: 数据科学/人工智能比赛解决方案汇总 - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-03-04 - **Last Updated**: 2020-12-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # 数据科学/人工智能比赛解决方案汇总 > 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 + [ApacheCN 学习资源](http://www.apachecn.org/) + [ApacheCN 机器学习交流群 629470233](http://shang.qq.com/wpa/qunwpa?idkey=30e5f1123a79867570f665aa3a483ca404b1c3f77737bc01ec520ed5f078ddef) ## 结构化数据/时间序列 1. 2019 腾讯广告算法大赛 Rank1: https://github.com/guoday/Tencent2019_Preliminary_Rank1st 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.csdn.net/weixin_43593330/article/details/100175414 1. 2019 CCF 离散制造过程中典型工件的质量符合率预测 EDA1: http://lambda-xmu.club/2018/08/25/2019CCF-Work-Piece-EDA/ EDA2: http://lambda-xmu.club/2018/09/04/2019CCF-Work-Piece-EDA-Part2/ Baseline 0.678: https://github.com/destiny19960207/CCF_BDCI2019_discrete-manufacturing Baseline 0.644: [CCF2019-discrete-manufacturing/644baseline.py](src/CCF2019-discrete-manufacturing/644baseline.py) 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.csdn.net/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 3. 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 4. 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 4. 2018JDATA 用户购买时间预测 Rank9: https://zhuanlan.zhihu.com/p/45141799 5. 2018 DF 风机叶片开裂预警 Rank2: https://github.com/SY575/DF-Early-warning-of-the-wind-power-system 6. 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 7. 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 8. 2016 融 360-用户贷款风险预测 Rank7: https://github.com/hczheng/Rong360 8. 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 8. 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 8. 2017 CCF-商场中精确定位用户所在店铺 Rank1: https://github.com/drop-out/Tianchi-Wifi-Positioning 9. 2016 CCF-020 优惠券使用预测 Rank1: https://github.com/wepe/O2O-Coupon-Usage-Forecast 0. 2016 ccf-农产品价格预测 Rank2: https://github.com/xing89qs/CCF_Product Rank35: https://github.com/wqlin/ccf-price-prediction 1. 2016 ccf-客户用电异常 Rank4: https://github.com/AbnerYang/2016CCF-StateGrid 2. 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 3. 2016 ccf-联通的用户轨迹 RankX: https://github.com/xuguanggen/2016CCF-unicom 4. 2016 ccf-Human or Robots Rank6: https://github.com/pickou/ccf_human_or_robot 5. 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 6. 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 7. 2018 对抗挑战优胜经验分享 + http://t.cn/RBMaq4y + http://t.cn/RBMlfBH 8. Galaxy Zoo challenge http://benanne.github.io/2014/04/05/galaxy-zoo.html 9. Kaggle Home Credit 违约风险预测 Rank1: http://t.cn/RFsoHgv 0. Kaggle 2017 Santa competition Rank54: https://github.com/bigzhao/MPI-Hungarian-method 1. Kaggle 2017 Porto Seguro’s Safe Driver Prediction Rank131: https://bigzhao.github.io/2017/12/18/kaggle-silver/ 1. 第三届阿里云安全算法挑战赛 Rank1: https://github.com/poteman/Alibaba-3rd-Security-Algorithm-Challenge 1. 2018dc-新网银行杯 Rank3: https://github.com/Smilexuhc/Xingwangbankcup-top3 Rank4: https://github.com/TingNie/CreditForecast 1. 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 1. 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 1. 2018 ATEC 蚂蚁金服 NLP 智能客服比赛 Rank16: https://github.com/zle1992/atec 1. 2018 ATEC 蚂蚁金服 NLP 蚂蚁金服金融大脑赛题 Rank18: https://github.com/ziweipolaris/atec2018-nlp 1. DataCastle-城市治理大数据应用创意方案赛 Rank1: https://github.com/poteman/DataCastle-Urban-governance-competition 1. Kaggle - Crowdflower Search Results Relevance Rank1: https://github.com/ChenglongChen/Kaggle_CrowdFlower 1. 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 1. 2017 摩拜杯算法挑战赛 Rank3: https://github.com/Magic-Bubble/Mobike 1. 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 1. 天池糖尿病血糖预测比赛 精准医疗 Rank24: https://github.com/xingyuezhiji/Diabetes 1. 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 1. 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 1. 2019 Kaggle Freesound Audio Tagging Rank1: https://github.com/qrfaction/1st-Freesound-Audio-Tagging-2019 1. 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 1. 2019 CCF 互联网金融新实体发现 Baseline 0.2049: https://github.com/finlay-liu/kaggle_public/ 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 1. 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 1. 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 1. 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 1. 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 1. “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 1. 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 1. 2018 CCL 客服领域用户意图分类评测 Rank1: https://github.com/nlpjoe/2018-CCL-UIIMCS 1. 第二届搜狐内容识别大赛 Rank1: https://github.com/zhanzecheng/SOHU_competition 1. 科赛 - 百度 PaddlePaddle AI 大赛——智能问答 Rank3: https://github.com/312shan/rc_tf 1. 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 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 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 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 0. 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 1. 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 1. 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 1. 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 0. kaggle Carvana Image Masking Challenge Rank1:https://github.com/asanakoy/kaggle_carvana_segmentation Rank3:https://github.com/lyakaap/Kaggle-Carvana-3rd-place-solution 1. kaggle Statoil/C-CORE Iceberg Classifier Challenge Rank4: https://github.com/asydorchuk/kaggle/blob/master/statoil/README.md 2. 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](https://github.com/iphysresearch/DataSciComp) 1. [ApacheCN 的 kaggle 资料链接](https://github.com/apachecn/kaggle) 2. [Kaggle top 方案整理](https://github.com/EliotAndres/kaggle-past-solutions) 3. [Data competition Top Solution 数据竞赛 Top 解决方案开源整理](https://github.com/Smilexuhc/Data-Competition-TopSolution) 1. [介绍 featexp 一个帮助理解特征的工具包](http://www.sohu.com/a/273552971_129720) 1. [Ask Me Anything session with a Kaggle Grandmaster Vladimir I. Iglovikov](http://t.cn/Eww4nnu) [PDF](https://pan.baidu.com/s/1XkFwko_YrI5TfjjIai7ONQ) 1. [Owen Zhang 访谈: Kaggle 制胜的秘密](http://t.cn/RBzPcyg) 1. [How to Compete for Zillow Prize at Kaggle](https://www.datasciencecentral.com/profiles/blogs/how-to-compete-for-zillow-prize-at-kaggle) 1. [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/) 1. [Kaggle 数据科学词汇表](http://t.cn/Rdx72Cn) 1. [Kaggle 比赛优胜方案汇总](http://t.cn/Rdkj3Co) 1. [Kaggle 比赛实战教程(Pandas, Matplotlib, XGBoost/Colab)](http://t.cn/ReIJOX0) 1. [llSourcell/kaggle_challenge](http://t.cn/ReIJOXK) 1. [Kaggle 看照片猜相机比赛心得分享](http://t.cn/Rkz5Q9y) [PDF](http://t.cn/Rkz5Q9L) 1. [Kaggle 在线分类广告需求预测比赛优胜方案分享](http://t.cn/RFpQg9O) 1. [Kaggle | Winner Interview ](http://blog.kaggle.com/2018/09/14/pei-lien-chou/) 1. [2018 NIPS 视觉对抗挑战总结](http://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](https://t.zsxq.com/uRBUrBy) + [知识星球: Kaggle 数据竞赛免费版](https://t.zsxq.com/IAQvF2F)