Data Science Challenge / Competition

Here offer a list of links to various sources in which you may have an interest.
Please let me know if you find difficulty or inconvenience with any of them, or if any of them are no longer in operation.
I want to maintain an accurate, current and complete list as much as possible.
Please let me know about any of your personal favorites.
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Kaggle

Kaggle is an online community of data scientists and machine learners, owned by Google, Inc. Kaggle allows users to find and publish data sets, explore and build models in a web-based data-science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges. Kaggle got its start by offering machine learning competitions and now also offers a public data platform, a cloud-based workbench for data science, and short form AI education. On 8 March 2017, Google announced that they were acquiring Kaggle.
(from wiki)

DrivenData

DrivenData works on projects at the intersection of data science and social impact, in areas like international development, health, education, research and conservation, and public services.

CodaLab

CodaLab is an open-source web-based platform that enables researchers, developers, and data scientists to collaborate, with the goal of advancing research fields where machine learning and advanced computation is used. CodaLab helps to solve many common problems in the arena of data-oriented research through its online community where people can share worksheets and participate in competitions.
Documentation: CodaLab Wiki from Github

Challenge Data

The Challenge Data platform hosts machine learning challenges, based on data provided by large groups, start-ups or research labs. They are addressed to students, data scientists and researchers in machine learning and statistics.

crowdAI (shutting down)

crowdAI is a platform for open data science challenges. crowdAI helps universities, government agencies, NGOs, or businesses to run and manage their data challenges. The crowdAI platform is a non-profit, open source infrastructure that can immediately reach thousands of data scientists around the world to work on interesting data problems.

AIcrowd

AIcrowd is a platform for streamlining your AI workflow - internally, or externally, by running AI, machine learning, and other data science challenges. AIcrowd helps organizations - whether businesses, universities, government agencies or NGOs - develop, manage, and promote their challenges.

EvalAI

EvalAI is built by a team of open source enthusiasts working at CloudCV. CloudCV aims to make AI research reproducible and easily accessible. We want to reduce the barrier to entry for doing research and make it easier for researchers, students and developers to develop and use state-of-the-art algorithms as a service.

Numerai

(Untapped) The stock market is inefficient with respect to new developments in machine learning — only a fraction of the world's data scientists have access to its data. Numerai is changing this. Because Numerai abstracts its financial data, data scientists do not know what the data represents and human biases and overfitting are overcome. (How Numerai works)

Signate

SIGNATEには様々な分野の優秀なデータサイエンティストが登録しています。AI開発やデータ分析のテーマごとに多数のデータサイエンティストが精度やアイデアを競うコンペティションにより、最高品質のAIを開発することができます。コンペを通じて人材採用、人材育成、ベンダー評価など、様々な課題のソリューションが可能となります。

CrowdANALYTIX

CrowdANALYTIX is a platform for building high-precision, custom AI solutions.Our unique modular approach of building AI modules, each tuned to a single task, and combining those modules to deliver the final solution results in much higher precision than more generic AI models.

Unearthed

We believe in the power of entrepreneurship to transform individuals and communities, to create economic opportunities, and to address global challenges.

Analytics Vidhya

Analytics Vidhya brings you the power of community that comprises of data practitioners, thought leaders and corporates leveraging data to generate value for their businesses. Learn from the resources developed by experts at AnalyticsVidhya, participate in hackathons, master your skills with latest data science problems and showcase your skills to the world.

TechGig

(Untapped) TechGig.com是Times Internet旗下的竞争性编程和技术社区网站。
At TechGig, we have always strived to give our community members an unmatched learning experience where they can take part in exciting challenges and hackathons and grow in the process.

HackerEarch

(Untapped) HackerEarth提供企业软件解决方案，帮助组织实现创新管理和技术招聘需求。到目前为止，HackerEarth已经进行了1000多次黑客马拉松和10,000多次编程挑战。自成立以来，HackerEarth已经建立了超过200万+的开发人员基础。

GECCO 2019

The Genetic and Evolutionary Computation Conference (GECCO) presents the latest high-quality results in genetic and evolutionary computation since 1999. Topics include: genetic algorithms, genetic programming, ant colony optimization and swarm intelligence, complex systems (artificial life/robotics/evolvable hardware/generative and developmental systems/artificial immune systems), digital entertainment technologies and arts, evolutionary combinatorial optimization and metaheuristics, evolutionary machine learning, evolutionary multiobjective optimization, evolutionary numerical optimization, real world applications, search-based software engineering, theory and more.

Grand Challenges in Biomedical Image Analysis

Every year, thousands of papers are published that describe new algorithms to be applied to medical and biomedical images, and various new products appear on the market based on such algorithms. But few papers and products provide a fair and direct comparison of the newly proposed solution with the state-of-the-art. We believe that such comparisons can help the research community and industry to develop better algorithms. We support the organization of these comparative studies and the dissemination of their results.

Stanford Machine Learning Group

Our mission is to significantly improve people's lives through our work in Artificial Intelligence

Stanford Natural Language Processing Group

The Natural Language Processing Group at Stanford University is a team of faculty, postdocs, programmers and students who work together on algorithms that allow computers to process and understand human languages.
CoQA: A Conversational Question Answering Challenge
SQuAD2.0: The Stanford Question Answering Dataset
...

Kelvins

This website was created by the Advanced Concepts Team of the European Space Agency in 2015. The website's purpose is to serve as a platform for space related competitions.
The title Kelvins is at the same time the theme for the website and originates from the unit for temperature named after the physicist William Lord Kelvin. To reach the absolute zero error is the target of many machine learning related competitions.

HeroX

HeroX exists to enable anyone, anywhere in the world, to create a challenge that addresses any problem or opportunity, build a community around that challenge and activate the circumstances that can lead to a breakthrough innovation.

Google AI

Google AI Blog | The lastest news from Google AI

ICDAR Robust Reading competitions

The competition is organized around challenges that represent specific application domains for robust reading. Challenges are selected to cover a wide range of real-world situations. Each challenge is set up around different tasks.

ISBI 2019

The IEEE International Symposium on Biomedical Imaging (ISBI) is a scientific conference dedicated to mathematical, algorithmic, and computational aspects of biological and biomedical imaging, across all scales of observation.

CVPR 2019

CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

IEEE CEC 2019

(Untapped) 2019 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION

ICME 2019

With around 1,000 submissions and 500 participants each year, the IEEE International Conference on Multimedia & Expo (ICME) has been the ﬂagship multimedia conference sponsored by four IEEE societies since 2000.

阿里云|天池

天池大数据竞赛是由阿里巴巴集团主办，面向全球科研工作者的高端算法竞赛。通过开放海量数据和分布式计算资源，大赛让所有参与者有机会运用其设计的算法解决各类社会问题或业务问题。特别优秀的解决方案将有机会直接上线阿里巴巴旗下各电商网站（含淘宝、天猫等）或第三方合作伙伴平台，服务中国乃至世界数以亿计的用户。

DataCastle

DataCastle数据科学学习社区隶属于成都数聚城堡科技有限公司，是由周涛堡主创建的数据极客圈，聚集了全球数据精英、领先的数据科学思维与智慧以及各行业领域优质数据资源，在大数据产业价值链的关键环节不断输出优质的大数据人才、大数据解决方案以及数据科学核心技术知识。

和鲸 HeyWhale (Kesci)

和鲸隶属于上海和今信息科技有限公司，2015年创始于上海，是中国领先的数据智能化转型、升级解决方案提供商。旗下拥有聚集了超过50,000+数据智能人才的专业第三方数据科学社区kesci(科赛网）、具备国际领先水平的数据分析及AI开发协作工具kescilab（简称“K-Lab”）以及企业数据智能化发展联盟数据商业家。

Biendata

Biendata.com is a platform for providing data science competitions to meet different enterprises and organizations needs. We are committed to helping you solve challenging data related problems in order to make your business more smart.

DataFountain

DF通过“众包”模式汇集各类大数据资源；以“众筹”模式汇集行业需求，形成大数据问题求解、科学发现、人工智能、商业智能、情报挖掘、大数据分析和大数据管理等挑战问题集合；以“众创”模式吸引全国最大规模的数据创新创业人才和最优秀的数据科学家共同解决复杂的大问题；通过创意大赛挖掘有价值的大数据应用及商业模式。

AI Challenger 全球AI挑战赛

“AI Challenger 全球AI挑战赛”是面向全球人工智能人才的开源数据集和编程竞赛平台，致力于满足AI人才成长对高质量丰富数据集的需求，推动AI在科研与商业领域结合来解决真实世界的问题。AI Challenger以服务、培养AI人才为使命，打造良性可持续的AI科研与应用新生态。

睡前 FUTURELAB.AI

睡前是八爪鱼互动（北京）科技有限公司旗下网站，致力于在中国高校内传播科学正能量。网站以提供高校竞赛的管理系统为主，活动、社区为辅，范围涵盖了科学、工程、艺术、文体等各个分支。睡前立志于为高校科技比赛的举办方和高校的参赛学生带来方便快捷的竞赛体验，成为中国高校学生高质量内容的生产、交流社区。

iChallenge

iChallenge is set up to share high-quality labeled and annotated imaging data of ophthalmology, to enhance communication between different researchers (not only computer scientists but also clinicians) and to promote development of automatic algorithms in diagnosis and image segmentation.
Contact: ai@baidu.com