Building platforms for reproducible AI Research

Technologies
python, django, docker, angularjs, aws
Topics
machine learning, artificial intelligence, computer vision, deep learning, AI/ML
Building platforms for reproducible AI Research
CloudCV is a young open source cloud platform started in 2013 by students and faculty from Machine Learning and Perception Lab at Virginia Tech (now at Georgia Tech) with the aim to make AI research more reproducible. At CloudCV, we are building tools that enable researchers to build, compare and share state-of-the-art 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.
2023 Program

Successful Projects

Contributor
Ayush Rathore
Mentor
Gunjan Chhablani, Rahul-Singh, Gautam Jajoo
Organization
CloudCV
Evaluation Infrastructure Optimization
This project aims to enhance EvalAI's functionalities by automating large worker deployments in AWS, adding relevant features for efficient challenge...
Contributor
Suryansh Pathak
Mentor
Gunjan Chhablani, Rahul-Singh, Gautam Jajoo
Organization
CloudCV
Improvements in EvalAI User Interface
This project aims to enhance and optimize the existing platform by implementing several important features and improvements. These changes include...