CloudCV is an open source cloud platform led by graduate students and faculty at the Machine Learning and Perception Lab at Georgia Tech, with the aim of making AI research more reproducible. At CloudCV, we are building tools that enable researchers to build, compare, and share start-of-the-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.
CloudCV consists of three major platforms:
Origami is an 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 set up infrastructure, resolve dependencies, and build a web service around the deep learning model. By lowering the barrier to entry to the latest AI algorithms, we provide developers, researchers, and students the ability to access any model using a simple REST API call.
Fabrik is an online collaborative platform to build, visualize and train deep learning models by a simple drag-and-drop approach. It allows researchers to collaboratively develop and debug models using a web GUI that allows importing, editing, and exporting networks from widely popular frameworks like Caffe, Tensorflow and Keras.
EvalAI is an open source web platform that aims to help researchers, students and data scientists create, collaborate, and participate in AI challenges. 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 simplifying and standardizing the process of benchmarking AI, we want to circumvent many of the factors impeding the rate of progress in AI.
- Twitter: Follow these general steps to apply to our organization.
Join the CloudCV Gitter channel/Google Groups & introduce yourself. https://gitter.im/Cloud-CV https://groups.google.com/forum/#!forum/cloudcv
Not only do we get to know each other, but you can also get feedback on project ideas & get help as you start working with our codebase. Don't hesitate to ask anything & participate in the discussion. This is your go-to destination if you need help with anything – for example, don't be afraid if you don't know GIT. We'll teach you everything that is needed; the only thing required from you is enthusiasm & the willingness to learn new things. Also, feel free to help fellow participants with their doubts.
Review our ideas page to see if you find a project that is interesting to you.You can learn about each project, its prerequisites, open issues, & instructions on how to contribute/apply to this project idea here:
https://gsoc.cloudcv.org
https://github.com/Cloud-CV/GSoC-Ideas/issues
Start early with your application! The student application requires you to write a proposal for a project idea. You should follow the guidelines & application template here:
https://github.com/Cloud-CV/GSoC-Ideas/wiki/GSOC-2018-Proposal-Template
We require that you have successfully submitted at-least one pull request to one of the CloudCV repositories:
https://github.com/Cloud-CV
Detailed guide about the patch requirement can be found here:
https://github.com/Cloud-CV/GSoC-Ideas/wiki/Patch-Requirement