Skip to content
@mle-infrastructure

mle-infrastructure

README.md

Welcome to the MLE-Infrastructure 🔬

The MLE-Infrastructure provides a reproducible workflow for distributed ML experimentation (MLE) with minimal overhead:

drawing drawing drawing drawing drawing
Experiment Logging Parameter Searches Experiment Launch Experiment Protocol Experiment Manager
drawing drawing drawing drawing drawing
mle-logging mle-hyperopt mle-scheduler mle-monitor mle-toolbox
GitHub stars GitHub stars GitHub stars GitHub stars GitHub stars
Colab Colab Colab Colab Colab

Pinned Loading

  1. mle-logging Public

    Lightweight ML Experiment Logging 📖

    Python 80 10

  2. mle-hyperopt Public

    Lightweight Hyperparameter Optimization 🚂

    Python 147 9

  3. mle-scheduler Public

    Lightweight Cluster/Cloud VM Job Management 🚀

    Python 41 3

  4. mle-monitor Public

    Lightweight Experiment & Resource Monitoring 📺

    Python 187 6

  5. mle-tutorial Public

    Tutorials, Presentations & Papers using the MLE-Infrastructure 🔺

    Jupyter Notebook 6

  6. mle-toolbox Public

    Lightweight Tool to Manage Distributed ML Experiments 🛠

    Jupyter Notebook 4 1

Repositories

Showing 8 of 8 repositories

People

This organization has no public members. You must be a member to see who’s a part of this organization.

Top languages

Loading…

Most used topics

Loading…