CloudCV – GSoC 2017 Ideas

About CloudCV

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 eight installments of Google Summer of Code, over the course of which our students built several excellent tools and features. If you are interested in participating as a 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 CloudCV, so feel free to reach out to us on our Slack workspace or on our mailing list.

EvalAI

Python Django AngularJS RabbitMQ Docker AWS

EvalAI is an evaluation server that will host AI challenges like Visual Question Answering, Image Captioning. 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.

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Origami

ReactJS Python Flask Docker

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.

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Fabrik

ReactJS Python Django

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.

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CloudCV

ReactJS Python Django

CloudCV main website has a lot of legacy code that needs to be cleaned and needs a complete revamp. The goal of this project is to use best practices for deployment + operations and support all the other infrastructural needs for other projects like EvalAI, IDE, CV-fy etc.

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Become a 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!

Okay, let's mentor!

Have your own idea? Add an issue to our GSoC-Ideas repository.

In case of queries, you can contact us.

Email: team@cloudcv.org