Hey! are you a Google Code-In (GCI) aspirant?





CloudCV is selected in GCI 2018. Checkout our page on GCI website

CloudCV began in the summer of 2013 as a research project within the Machine Learning and Perception lab at Virginia Tech (now at Georgia Tech), with the ambitious goal of making platforms to make AI research more reproducible. We’re a young community working towards enabling developers, researchers, and fellow students to build, compare and share state-of-the-art Artificial Intelligence algorithms. We believe that one shouldn’t have to be an AI expert to have access to cutting edge vision algorithms. Likewise, researchers shouldn’t have to worry about building a service around their deep learning models to showcase and share it with others.


We have participated in the past four installments of Google Summer of Code (2015, 2016, 2017 and 2018) and one installment of Google Code-In (2017), over the course of which our students built several excellent tools and features. If you are interested in participating as a GCI student or mentor, scroll down to check out our projects and get involved! We are more than happy to answer any questions you may have regarding our projects or GCI, so feel free to reach out to us on our Gitter channel or on our mailing list.

EvalAI is an open source web application that helps researchers, students and data-scientists to create, collaborate and participate in various AI challenges organized round the globe. In recent years, it has become increasingly difficult to compare an algorithm solving a given task with other existing approaches. These comparisons suffer from minor differences in algorithm implementation, use of non-standard dataset splits and different evaluation metrics. By providing a central leaderboard and submission interface, we make it easier for researchers to reproduce the results mentioned in the paper and perform reliable & accurate quantitative analysis.

Technologies : HTML, CSS, Python, Django, AngularJS, RabbitMQ, Celery, AWS, Docker, MapReduce

Website: https://evalai.cloudcv.org
Github Project: EvalAI
Gitter Channel: EvalAI

Fabrik (previously called IDE) is an online collaborative platform to build, visualize and train deep learning models by a simple drag-and-drop approach. It allow researchers to collaboratively develop and debug models using a web GUI that allows importing, editing and exporting networks from widely popular frameworks like Caffe and Keras.

Technologies : HTML, CSS, Python, Django, ReactJS, Keras, Caffe, Tensorflow, AWS, Docker

Website: http://fabrik.cloudcv.org
Github Project: Fabrik
Gitter Channel: Fabrik

Origami (previously called CloudCV-fy your code) is a AI-as-a-service solution that allows researchers to easily convert their deep learning models into an online service that is widely accessible to everyone without the need to setup the infrastructure, resolve the dependencies, and build a web service around the deep learning model. By lowering the barrier to entry to latest AI algorithms, we provide developers, researchers and students the ability to access any model using a simple REST API call.

Technologies : HTML, CSS, Python, Django, React, AWS, Docker

Website: http://origami.cloudcv.org
Github Project: Origami
Gitter Channel: Origami

Become a GCI Mentor!

Mentoring is very important to the future of CloudCV. It introduces new people to the world of open source software who will enrich our community with their ideas and talents.

Apart from technical skills, being a mentor requires your time, a clear roadmap for your project and good organization skills. If you think you would be a good fit to mentor one of our projects, do reach out to us!

Browse the above sections for potential mentor projects.

Contact us on our Gitter Channel or email at team@cloudcv.org, if you have relevant experience and want to get involved. We have limited mentor slots!

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