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DVC: Data Version Control - Git for Data & Models

Name: DVC: Data Version Control - Git for Data & Models
Keywords: python, ai, data-science, machine-learning, git, developer-tools, reproducibility, collaboration, data-version-control

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 18 Aug 2020Publisher:Zenodo

Authors: Ruslan Kuprieiev; Dmitry Petrov; Ramón Valles; Paweł Redzyński; Casper da Costa-Luis; Alexander Schepanovski; Saugat Pachhai; +23 Authors

doi: 10.5281/zenodo.3990613

DVC: Data Version Control - Git for Data & Models

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experiments: fix flaky tests (#4414) @pmrowla tree: http: try GET on failed HEAD (#4390) @pared refactor: move toml/yaml serialization to dvc.utils.serialize (#4411) @skshetry status: check if target is missing both in cache and remote (#4398) @nik123 metrics: show: debug info on parsing problems (#4370) @pared experiments: include experiment timestamps in dvc exp show output (#4389) @pmrowla upgrade to isort5 (#4399) @skshetry cleanup RepoTree (#4405) @skshetry Solve check-ignore broken in a Linux pipeline (#4409) @karajan1001 update flake8 to latest version (#4403) @skshetry ui: '-j' option now mentions docs (#4382) @nik123 tree: make get_hash return type and hash pair (#4397) @efiop tests: add .dvcignore on the tests expectations (#4396) @skshetry RepoTree: add support for subrepo traversal (#4381) @skshetry Derive WebDAVURLInfo from URLInfo instead of HTTPURLInfo (#4391) @iksnagreb outputs: validate that output is not ignored (#4386) @pared exception text: clarify error message (#4339) @bobertlo get-url: allow weak etag (#4372) @pared Solve result inconsistency of the DvcIgnoreFilter (#4378) @karajan1001 experiments: add options to include/exclude columns in exp show (#4375) @pmrowla term: review "URL" term usage in remote cmds, and get/import-url (#4364) @jorgeorpinel Special dir warning #3436 (#4229) @aerubanov

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A K Industries (United Kingdom)
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Microsoft (United States)
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Keywords

python, ai, data-science, machine-learning, git, developer-tools, reproducibility, collaboration, data-version-control

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