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1. 2019 CCF 基于OCR的身份证要素提取
   Rank1: https://github.com/Mingtzge/2019-CCF-BDCI-OCR-MCZJ-OCR-IdentificationIDElement

2. 2019 CCF 云计算时代的大数据查询分析优化
   Rank1: https://github.com/hezuojiao/bigdata_race

3. 2019 CCF 多人种人脸识别
   Rank1: https://github.com/themostnewone/2019ccf

4. 2019 CCF 三角形图计算算法设计及性能优化
   Rank1: https://github.com/YangWuuu/CCF_BDCI_2019_TRICOUNT

5. 2019 CCF 离散制造过程中典型工件的质量符合率预测
   Rank1: https://github.com/CcIsHandsome/-TOP1-

6. 2019 CCF 乘用车细分市场销量预测
   Rank1: https://github.com/cxq80803716/2019-CCF-BDCI-Car_sales

7. 2019 CCF 金融信息负面及主体判定
   Rank1: https://github.com/xiong666/ccf_financial_negative

8. 2019 CCF 视频版权检测算法
   Rank1: https://github.com/landlee001/Video-infringement-detection

9. 2019 CCF “技术需求”与“技术成果”项目之间关联度计算模型
   Rank1: https://github.com/Makaixin/Correlation-between-requirements-and-achievements

10. 2019 智能盘点—钢筋数量AI识别
    Rank1: https://github.com/HarleysZhang/detect_steel_number

11. 2019 混凝土泵车砼活塞故障预警
    Rank1: https://github.com/pinlank/DCIC_Failure-Prediction-of-Concrete-Piston-for-Concrete-Pump-Vehicles_1st

12. 2019 消费者人群画像—信用智能评分
    Rank1: https://github.com/C-rawler/DCIC-2019-Credit-intelligence-score-2th-Place
    Rank2: https://github.com/xy0210/DCIC-2019-China-Mobile

13. 2019 汽车论坛消费者用车体验内容的判别与标注
    Rank1: https://github.com/w5688414/car-forum-customer

14. 2019 第五届“四维图新”杯创新大赛
    Rank1: https://github.com/zhengye1995/datafountain_siweituxin_autodriver_det

15. 2019 安全AI挑战者计划第二期 - ImageNet图像分类对抗攻击
    Rank1: https://drive.google.com/open?id=1Up1fV-PaiHin3xSqXicsP9yyc1dWUD47
    Rank2: https://github.com/IDKiro/Attack-ImageNet
    Rank3: https://github.com/Equationliu/Attack-ImageNet

16. 2019 "合肥高新杯"心电人机智能大赛
    Rank1: https://github.com/RandomWalk-xzq/Hefei_ECG_TOP1

17. 2019 华为账号用户人口属性预测
    Rank14: https://github.com/WeavingWong/DigiX_HuaWei_Population_Age_Attribution_Predict

18. 第四届“魔镜杯”数据应用大赛
    Rank2: https://github.com/LibraM9/ppd_mirror
    Baseline1: https://github.com/zzz333za/ppd
    Baseline2: https://github.com/vinklibrary/ppd_mojing4

19. 2019 “创青春·交子杯”新网银行高校金融科技挑战赛
    Rank1: https://github.com/TimeChi/Lip_Reading_Competition
    Rank6: https://github.com/liuzhejun/XWbank_LipReading

20. 2019 国能日新第二届光伏功率预测赛
    Rank25: https://github.com/jsnuwjl/Photovoltaic_power

21. 2019 “雅典娜杯”数据挖掘大赛邀请赛
    Rank14: https://github.com/shaobo76/ydn2019
    Rank17: https://github.com/Travisgogogo/2019-ABC-Athena

22. 2019 厦门国际银行“数创金融杯”数据建模大赛
    Rank6: https://github.com/yanqiangmiffy/Data-Finance-Cup

23. 2019 Urban Region Function Classification
    Rank2: https://github.com/zhuqunxi/Urban-Region-Function-Classification

24. 2019 短视频内容理解与推荐竞赛
    Rank8: https://www.zhuanzhi.ai/document/57000873027e2910fd452f42c90b2104

25. 2019 DigSci 科学数据挖掘大赛
    Rank1: https://zhuanlan.zhihu.com/p/88664963
    Rank2: https://zhuanlan.zhihu.com/p/88257675

26. 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-

27. 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-

28. 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

29. 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

30. 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

31. 2018JDATA 用户购买时间预测
    Rank9：https://zhuanlan.zhihu.com/p/45141799

32. 2018 DF风机叶片开裂预警
    Rank2：https://github.com/SY575/DF-Early-warning-of-the-wind-power-system

33. 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

34. 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

35. 2016融360-用户贷款风险预测
    Rank7：https://github.com/hczheng/Rong360

36. 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

37. 2017 CCF-商场中精确定位用户所在店铺
    Rank1：https://github.com/drop-out/Tianchi-Wifi-Positioning

38. 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

39. 2016 CCF-020优惠券使用预测
    Rank1: https://github.com/wepe/O2O-Coupon-Usage-Forecast

40. 2016 ccf-农产品价格预测
    Rank2: https://github.com/xing89qs/CCF_Product
    Rank35: https://github.com/wqlin/ccf-price-prediction

41. 2016 ccf-客户用电异常
    Rank4: https://github.com/AbnerYang/2016CCF-StateGrid

42. 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

43. 2016 ccf-联通的用户轨迹
    RankX: https://github.com/xuguanggen/2016CCF-unicom

44. 2016 ccf-Human or Robots
    Rank6: https://github.com/pickou/ccf_human_or_robot

45. 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

46. (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 & Github

47. 2018对抗挑战优胜经验分享
    by snakers41: http://t.cn/RBMaq4y
    GitHub:http://t.cn/RBMlfBH

48. Galaxy Zoo challenge
    http://benanne.github.io/2014/04/05/galaxy-zoo.html

49. Kaggle Home Credit违约风险预测
    Rank1: http://t.cn/RFsoHgv

50. Kaggle 2017 Santa competition
    Rank54: https://github.com/bigzhao/MPI-Hungarian-method

51. Kaggle 2017 Porto Seguro’s Safe Driver Prediction
    Rank131: https://bigzhao.github.io/2017/12/18/kaggle-silver/

52. 第三届阿里云安全算法挑战赛
    Rank1: https://github.com/poteman/Alibaba-3rd-Security-Algorithm-Challenge

53. 2018dc-新网银行杯
    Rank3：https://github.com/Smilexuhc/Xingwangbankcup-top3
    Rank4：https://github.com/TingNie/CreditForecast

54. 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

55. 第二届 “智慧**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

56. 2018 ATEC 蚂蚁金服NLP智能客服比赛
    Rank16：https://github.com/zle1992/atec

57. 2018 ATEC 蚂蚁金服NLP蚂蚁金服金融大脑赛题
    Rank18：https://github.com/ziweipolaris/atec2018-nlp

58. DataCastle-城市治理大数据应用创意方案赛
    Rank1: https://github.com/poteman/DataCastle-Urban-governance-competition

59. Kaggle - Crowdflower Search Results Relevance
    Rank1: https://github.com/ChenglongChen/Kaggle_CrowdFlower

60. 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

61. 2017 摩拜杯算法挑战赛
    Rank3: https://github.com/Magic-Bubble/Mobike

62. 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

63. 天池糖尿病血糖预测比赛 精准医疗
    Rank24: https://github.com/xingyuezhiji/Diabetes

64. 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

65. 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

66. 2019 Kaggle Freesound Audio Tagging
    Rank1: https://github.com/qrfaction/1st-Freesound-Audio-Tagging-2019

67. Kaggle iMaterialist (Fashion) 2019 at FGVC6
    Rank1: https://github.com/amirassov/kaggle-imaterialist

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

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

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

• 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

【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/RsAHucP https://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:[email protected]
PUSH qq:1471386635 Email:[email protected]
dive2space qq: 1124361357 Email:[email protected]
Jean_V qq:2398963799 Email:[email protected]