Machine Learning Toolkit for Kubernetes
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Ricardo Martinelli de Oliveira 167e162ef7
Merge pull request #7461 from rimolive/kf-1.9
Add Kubeflow 1.9 release roadmap
2024-03-05 11:46:36 -03:00
.github chore: cleanup inactive owners (#7402) 2024-01-24 18:47:53 +00:00
components Prevent S6 timeouts on container start by setting S6_CMD_WAIT_FOR_SER… (#7421) 2024-01-27 17:22:15 +00:00
conformance feat(conformance): create v1.7 conformance test directory (#7123) 2023-05-08 18:14:55 +00:00
docs/gke fix broken link (#5738) 2021-03-20 20:56:17 -07:00
docs_dev Document for cutting Kubeflow website release. (#6198) 2021-11-18 18:42:43 +00:00
py chore: cleanup inactive owners (#7402) 2024-01-24 18:47:53 +00:00
releasing chore: cleanup inactive owners (#7402) 2024-01-24 18:47:53 +00:00
security Create Security Team Folder and place holder files for items that need to be added. (#7043) 2023-05-16 19:59:00 +00:00
testing/gh-actions chore: cleanup inactive owners (#7402) 2024-01-24 18:47:53 +00:00
.flake8 Update python code styles based on what's provided in .style.yapf (#2447) 2019-02-19 22:44:30 -08:00
.gitignore [Jupyter-Web-App]:Add basic E2E Tests (#4773) 2020-04-03 04:07:45 -07:00
.pylintrc Create a script to build the jupyter-web-app image and create a PR to update it (#3066) 2019-04-29 14:33:36 -07:00
.style.yapf Update python code styles based on what's provided in .style.yapf (#2447) 2019-02-19 22:44:30 -08:00
CHANGELOG.md Update the changelog for 0.5. (#2855) 2019-03-28 21:02:13 -07:00
CONTRIBUTING.md Deduplicate contributing docs (#5142) 2020-07-21 18:24:05 -07:00
LICENSE Add license and contributing.md 2017-12-08 11:28:54 -06:00
OWNERS Add KSC members to approvers in OWNERS (#7492) 2024-02-29 15:44:04 +00:00
README.md remove dangerous links from readme (#7044) 2023-03-20 17:30:11 +00:00
ROADMAP.md Update ROADMAP.md 2024-02-19 18:51:40 -03:00
prow_config.yaml Establish release process (#5746) 2021-03-24 15:52:45 -07:00

README.md

Kubeflow the cloud-native platform for machine learning operations - pipelines, training and deployment.

Documentation

Please refer to the official docs at kubeflow.org.

Working Groups

The Kubeflow community is organized into working groups (WGs) with associated repositories, that focus on specific pieces of the ML platform.

Get Involved

Please refer to the Community page.