Building platforms for reproducible AI research

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 building tools for reproducible and accessible AI research and development. 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.

We are building a platform called EvalAI as a scalable solution for the research community to fulfill the critical need for evaluating machine learning models. This will help researchers, students, and data scientists to create, collaborate, and participate in AI challenges organized around the globe. By simplifying and standardizing the process of benchmarking these models, we seek to lower the barrier to entry for participating in the global scientific effort to push the frontiers of machine learning and artificial intelligence, thereby increasing the rate of measurable progress in this domain.

The platform is used by more than 20 organizations from industry and academia such as Facebook, eBay, IBM, Stanford, MIT, Georgia Tech, etc. It has hosted 50+ AI challenges with 5500+ users who have created 51000+ submissions. It has more than 90+ open-source contributors and 1.3M+ page views since its launch in 2017. Several research organizations like Mapiallary research, IBM research, etc. are using its forked version for hosting their internal challenges instead of reinventing the wheel.

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Technologies

  • python
  • django
  • aws
  • docker
  • docker

Topics

  • Cloud
  • machine learning
  • artificial intelligence
  • deep learning
  • computer vision
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CloudCV 2020 Projects

  • Ayush Khare
    Enhancement in Code Upload Pipeline
    As EvalAI hosts more code-upload challenges and researchers utilize the modular Kubernetes based infrastructure for hosting these challenges,...
  • Kajol Kumari
    Improvement In EvalAI front @CloudCV
    This project mainly focuses adding some missing features and improving the frontend of the EvalAI.
  • Khalid Riyaz
    Streamlining challenge creation on EvalAI
    EvalAI is a platform to host and participate in AI challenges around the globe. To host a challenge, challenge creation is one of the core features...
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2020