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.
2024 Program

Successful Projects

Contributor
Harshit Jain 2210
Mentor
Rishabh Jain, Suryansh Pathak, Gunjan Chhablani, Rahul-Singh, Gautam Jajoo
Organization
CloudCV
Enhanced Exception Handling, Testing, Documentation, and User-Friendliness for EvalAI
This project aims to make EvalAI better for users. It will improve how errors are handled, add more tests to make sure things work properly, provide...
Contributor
Thieu Nguyen
Mentor
Rishabh Jain, Suryansh Pathak, Gunjan Chhablani, Rahul-Singh, Gautam Jajoo
Organization
CloudCV
Google Summer of Code 2024 Proposal for CloudCV
The proposal targets enhancing CloudCV by improving its admin dashboard, optimizing costs, and enhancing infrastructure monitoring. Key initiatives...