Skip to content
View fsschneider's full-sized avatar

Highlights

  • Pro

Block or report fsschneider

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
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

Frank's GitHub stats

Pinned Loading

  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 333 69

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

    Cockpit: A Practical Debugging Tool for Training Deep Neural Networks

    Python 473 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