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End-to-end machine learning on your desktop or server.

Project description

AIQC (wide)


📚  Documentation

🛡️  Community




Deep learning experiment tracking that's rapid, rigorous, & reproducible.

On a mission to accelerate open science by making deep learning more accessible.


framework


  • Achieve end-to-end reproducibility by recording both data preparation & training experiments.
  • Easily orchestrate parameterized protocols for data preprocessing & model evalaution.


Thanks to the support and sponsorship of:


sponsor

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