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fsschneider/README.md

Hi there, I'm Frank Schneider 👋

I am a Postdoctoral Researcher in the Methods of Machine Learning group at the University of Tübingen.

I work to make deep learning more user-friendly by focusing on the training algorithms.

Connect with me:

Frank's Twitter Frank's Website Frank's LinkedIn

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  1. mlcommons/algorithmic-efficiency mlcommons/algorithmic-efficiency Public

    MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.

    Python 330 66

  2. f-dangel/cockpit f-dangel/cockpit Public

    Cockpit: A Practical Debugging Tool for Training Deep Neural Networks

    Python 474 24

  3. DeepOBS DeepOBS Public

    DeepOBS: A Deep Learning Optimizer Benchmark Suite

    Python 103 34

  4. SirRob1997/Crowded-Valley---Results SirRob1997/Crowded-Valley---Results Public

    This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"

    180 19