Skip to content
This repository has been archived by the owner on May 4, 2020. It is now read-only.
/ mlbench-old Public archive

!!!!!DEPRECATED!!!! distributed machine learning benchmark - a public benchmark of distributed ML solvers and frameworks

License

Notifications You must be signed in to change notification settings

mlbench/mlbench-old

Repository files navigation

DEPRECATED!!!!!!!!!!!

This repository is not used anymore. The code for MLBench is now found in https://github.com/mlbench/mlbench-core https://github.com/mlbench/mlbench-benchmarks https://github.com/mlbench/mlbench-dashboard https://github.com/mlbench/mlbench-helm https://github.com/mlbench/mlbench-docs

mlbench: Distributed Machine Learning Benchmark

https://travis-ci.com/mlbench/mlbench.svg?branch=develop Documentation Status

A public and reproducible collection of reference implementations and benchmark suite for distributed machine learning algorithms, frameworks and systems.

Features

  • For reproducibility and simplicity, we currently focus on standard supervised ML, including standard deep learning tasks as well as classic linear ML models.
  • We provide reference implementations for each algorithm, to make it easy to port to a new framework.
  • Our goal is to benchmark all/most currently relevant distributed execution frameworks. We welcome contributions of new frameworks in the benchmark suite.
  • We provide precisely defined tasks and datasets to have a fair and precise comparison of all algorithms, frameworks and hardware.
  • Independently of all solver implementations, we provide universal evaluation code allowing to compare the result metrics of different solvers and frameworks.
  • Our benchmark code is easy to run on public clouds.

Community

About us: See :doc:`Authors </authors>`

Mailing list: https://groups.google.com/d/forum/mlbench

Contact Email: [email protected]

About

!!!!!DEPRECATED!!!! distributed machine learning benchmark - a public benchmark of distributed ML solvers and frameworks

Resources

License

Code of conduct

Stars

Watchers

Forks

Packages

No packages published