持续更新中 欢迎大家一起参加
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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- -
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- -
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 -
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 -
2018JDATA 用户购买时间预测
Rank9：https://zhuanlan.zhihu.com/p/45141799 -
2018 DF风机叶片开裂预警
Rank2：https://github.com/SY575/DF-Early-warning-of-the-wind-power-system -
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 -
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 -
2016融360-用户贷款风险预测
Rank7：https://github.com/hczheng/Rong360 -
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 -
2018 CCF-汽车领域ASC挑战赛
Rank7: https://github.com/nlpjoe/CCF-BDCI-Automotive-Field-ASC-2018 -
2016 CCF-020优惠券使用预测
Rank1: https://github.com/wepe/O2O-Coupon-Usage-Forecast -
2016 ccf-农产品价格预测
Rank2: https://github.com/xing89qs/CCF_Product
Rank35: https://github.com/wqlin/ccf-price-prediction -
2016 ccf-客户用电异常
Rank4: https://github.com/AbnerYang/2016CCF-StateGrid -
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 -
2016 ccf-联通的用户轨迹
RankX: https://github.com/xuguanggen/2016CCF-unicom -
2016 ccf-Human or Robots
Rank6: https://github.com/pickou/ccf_human_or_robot -
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 -
(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 -
2018对抗挑战优胜经验分享
by snakers41: http://t.cn/RBMaq4y
GitHub:http://t.cn/RBMlfBH -
Galaxy Zoo challenge
http://benanne.github.io/2014/04/05/galaxy-zoo.html -
Kaggle Home Credit违约风险预测
Rank1: http://t.cn/RFsoHgv -
第三届阿里云安全算法挑战赛
Rank1: https://github.com/poteman/Alibaba-3rd-Security-Algorithm-Challenge -
2018dc-新网银行杯 Rank3：https://github.com/Smilexuhc/Xingwangbankcup-top3
Rank4：https://github.com/TingNie/CreditForecast
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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 -
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 -
2018JD Dialog Challenge 任务导向型对话系统挑战赛
Rank3: https://github.com/zengbin93/jddc_solution_4th -
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 -
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 -
“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 -
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 -
2018 CCL 客服领域用户意图分类评测
Rank1：https://github.com/nlpjoe/2018-CCL-UIIMCS -
第二届搜狐内容识别大赛
Rank1：https://github.com/zhanzecheng/SOHU_competition
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Kaggle-TGS Rank1: http://t.cn/EzkDlOC
Rank4: http://t.cn/EzuvemA
http://t.cn/EzuPvfp
Rank9: http://t.cn/EznzvYv
Rank22: http://t.cn/EzYkR6i
Rank56 https://github.com/Gary-Deeplearning/TGS-Salt -
Kaggle Google地标检索
Rank1: http://t.cn/R1i7Xiy
Rank14： http://t.cn/R1nQriY -
Lyft感知挑战赛
赛题： http://t.cn/RBtrJcE
Rank4： http://t.cn/RBtrMdw
http://t.cn/RBJnlug -
(Kaggle)CVPR 2018 WAD视频分割
Rank2: http://t.cn/Ehp4Ggm -
Kaggle Google AI Open Images
Rank15: http://t.cn/RF1jnis -
Quick, Draw! Kaggle Competition Starter Pack
http://t.cn/EZAoZDM -
Kaggle植物幼苗图像分类挑战赛
Rank1: http://t.cn/RBssjf6 -
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
- 植物 ：https://github.com/plantsgo
- wepon ：https://github.com/wepe
- Snake：https://github.com/luoda888
- Drop-out：https://github.com/drop-out
- 金老师的知乎：https://zhuanlan.zhihu.com/jlbookworm
- 渣大：https://github.com/nzc
- 郭大：https://github.com/guoday
- 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
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