Open-Source ML Competition Judging Platform
Securely evaluate untrusted machine learning models in isolated Docker containers, score them on accuracy, size, and latency, and rank teams on a live anonymous leaderboard.
How it works
From your local environment to the leaderboard in three steps.
Build
Train your model on the provided dataset using any framework. Implement preprocess, load_model, and predict, the rest is up to you.
Submit
Zip your code with a requirements.txt and upload. The automated judge extracts dependencies, installs them, and runs your model in a secure sandbox.
Compete
Get scored instantly on accuracy, size, and latency. Watch your rank update on the live leaderboard, then iterate and resubmit to climb higher.
Built for machine learning competitions
Everything you need to focus on what matters, your model.
Sandboxed Execution
Every submission runs in an isolated Docker container with no network access. Your code, your dependencies, zero interference between teams.
Multi-Factor Scoring
Models are scored on Macro F1 accuracy, model size, and inference latency, combined into a single weighted score that rewards efficient solutions.
Real-Time Verdicts
Watch the evaluation stream live via WebSocket as your submission progresses through the judging pipeline, from extraction to final score.
Anonymous Leaderboard
Live rankings that update after every accepted submission. Team names are hidden from other participants until the competition ends.
Any ML Framework
Bring your own Python dependencies. scikit-learn, PyTorch, TensorFlow, XGBoost, whatever fits your approach, install it at submission time.
Invite-Only Access
Secure competitions with invite codes and email whitelisting. Every participant is verified before they can submit or view the leaderboard.
Current competitions
Choose your challenge and start competing.
AINS Data Science
Train. Submit. Compete.Build a machine learning model, submit it to the automated judge, and climb the leaderboard, all in 8 hours.
MLOps Challenge
Serve. Scale. Ship.Spin up a real cloud VM, build a production-grade ML system around a trained model, and get it graded live, one challenge at a time.
Ready to compete?
Enter the competition you were invited to. Sign up with your invite code, or log in to continue where you left off.