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google-colab

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PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆19 methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

  • Updated Aug 17, 2021
  • Python
neomatrix369
neomatrix369 commented Oct 25, 2020

Missing functionality

Currently, the release process (to GitHub and PyPi) is done manually, it's prone to errors, and the two scripts used work best in happy-path use-case scenarios while edge-case even though less to worry about are not taken care of, as well as they could have been.

The release to PyPi should be fail-safe as there is no way to revert if a mistake is made.

**Proposed

This is where I put things I find useful that speed up my work with Machine Learning. Ever looked in your old projects to reuse those cool functions you created before? Well, this repo is designed to be a Python Library of functions I created in my previous project that can be reused. I also share some Notebooks Tutorials and Python Code Snippets.

  • Updated Aug 13, 2021
  • Jupyter Notebook

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