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  • Collective Knowledge

Treffer: Collective Knowledge

Title:
Collective Knowledge
Authors:
Grigori Fursin, orcid:0000-0001-7719-
Publisher Information:
Zenodo
Publication Year:
2020
Collection:
Zenodo
Subject Terms:
collective knowledge, fair principles, automation, reproducibility, reusability, database, workflow, elasticsearch, common api, best practices, devops, mlops, knowledge management, reusable components, portable workflows, json, api, mlperf, open science
Document Type:
Fachzeitschrift text
Language:
English
Relation:
https://zenodo.org/communities/ck/; https://zenodo.org/records/4013289; oai:zenodo.org:4013289; https://doi.org/10.5281/zenodo.4013289
DOI:
10.5281/zenodo.4013289
Availability:
https://doi.org/10.5281/zenodo.4013289
https://zenodo.org/records/4013289
Rights:
Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number:
edsbas.19AF449A
Database:
BASE

Weitere Informationen

This is software documentation for the Collective Knowledge framework v1.15.0. Related resources: "Enabling reproducible ML and systems research: the good, the bad, and the ugly" (invited talk at FastPath'20 at ISPASS'20) "MILEPOST Project Experience: building ML-based self-optimizing compiler" (invited talk at Google compile+ML seminar) "The Collective Knowledge project: making ML models more portable and reproducible with open APIs, reusable best practices and MLOps" (arXiv:2006.07161)