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数据科学/人工智能比赛解决方案汇总
https://github.com/apachecn/awesome-data-comp-solution

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数据科学/人工智能比赛解决方案汇总

Host: GitHub
URL: https://github.com/apachecn/awesome-data-comp-solution
Owner: apachecn
License: other
Created: 2019-09-03T06:40:23.000Z (about 5 years ago)
Default Branch: master
Last Pushed: 2020-09-17T08:21:34.000Z (about 4 years ago)
Last Synced: 2024-05-21T17:08:35.027Z (6 months ago)
Language: Python
Homepage: awesome-data-comp-solution.vercel.app
Size: 56.6 KB
Stars: 518
Watchers: 25
Forks: 131
Open Issues: 1
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

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)