Events Calendar

Kubeflow Doc Sprint - Sunnyvale and online, 10-12 February 2020
- Monday 10 February: Welcome; docs/code development; learning sessions.
- Tuesday 11 February: Sprint updates; docs/code development; learning sessions.
- Wednesday 12 February: Docs/code development; sprint demos.
Kubeflow Doc Sprint, 10-12 July 2019. See the .
Google Cloud Next, San Francisco, 9-11 April, 2019
- : John Bohannon, Michelle Casbon
Kubeflow Contributor Summit 2019, Sunnyvale, CA, 12-13 March, 2019
- Kubeflow and the ML Landscape: Jeremy Lewi, Google
- Updates from the PM Working Group:
  - PMs: David Aronchick, Josh Bottum, Carmine Rimi
  - Slides
- Building Together: Community in Kubeflow: Thea Lamkin, Google
- Experiment Tracking with Kubeflow, Lukas Biewald, Weights & Biases
  - Slides
- Multi-User Environments, Kam Kasravi & Ebi Shahbazi, Intel
- On-Premise: Debo Dutta, Cisco
  - Slides
- MiniKF: Local Kubeflow: Vangelis Koukis, Arrikto
- TensorFlow 2.0 is coming!: Paige Bailey, Google
  - Slides
- Overview of Kubeflow Pipelines: Pavel Dournov, Google
- Feast: Feature Storage for Machine Learning: Tim Sell, Google
  - Slides
- Understanding the Earth: Machine Learning with Kubeflow Pipelines: Faustine Li, Descartes Labs
- Kubeflow Experiments at LinkedIn: Tengfei Mu & Abin Shahab, LinkedIn
  - Slides
- Ask the User: Data Science Panel, Moderator: Karthik Ramasamy, Google
  - Panelists: Ting Chen, Emmanuel Ameisen, Scott Leishman, Caio Soares, June Andrews, Jun Wang
- Simple, GPU-Accelerated Kubeflow Pipeline: Ananth Sankarasubramanian, NVIDIA
- Fairing: Matt Rickard, Google
  - Slides
- ModelDB: Open-source model management: Manasi Vartak, Verta.ai
- Katib & Hyperparameter Tuning: Richard Liu, Google
  - Slides
- Kubeflow User Experience: Derek Ferguson, JP Morgan Chase
- Kubeflow & TFX: Kevin Haas, Google
  - Slides
- Kubeflow inference on Knative: Dan Sun, Bloomberg
- Arena: Yang Che, Alibaba
  - Slides
- Examples, Codelabs, & Demos: Michelle Casbon, Google
  - Slides
, 26 January, 2019
- Kubeflow: Portable Machine Learning on Kubernetes: Michelle Casbon
AI NEXTCon, Seattle, 23-26 January, 2019
- : Amy Unruh
KubeCon, Seattle, 11-13 December, 2018
- : Jeremy Lewi, David Aronchick
  - Video
- : Peter McKinnon
  - Slides
- Machine Learning as Code: Jay Smith
  - Video
- : Jeremy Lewi, Hamel Husain
  - Slides
- Workshop: Kubeflow End-to-End: GitHub Issue Summarization: Amy Unruh, Michelle Casbon
Women in ML & Data Science, Melbourne, 5 December, 2018
- : Michelle Casbon
YOW!, Melbourne, 4-7 December, 2018
- : Michelle Casbon
  - Slides
, 3-4 December, 2018
- Kubeflow Explained: NLP Architectures on Kubernetes: Michelle Casbon
YOW!, Sydney, 27-30 November, 2018
- : Michelle Casbon
  - Slides
, 15-17 November, 2018
- Data Engineering & AI Panel: Michelle Casbon
KubeCon, Shanghai, 13-15 November, 2018
- : Julia Han, Xin Zhang
  - Slides
- A Year of Democratizing ML With Kubernetes & Kubeflow: David Aronchick, Fei Xue
  - Video
- : Xinyuan Huang, Ce Gao
  - Slides
- CI/CD Pipelines & Machine Learning: Jeremy Lewi
  - Video
- : Xin Zhang
  - Video
- : Land Lu, Zhang Lei Mao
  - Slides
- Machine Learning on Kubernetes BoF: David Aronchick
- Operating Deep Learning Pipelines Anywhere Using Kubeflow: Jörg Schad, Gilbert Song
  - Video
, 3 November, 2018
- Kubeflow End to End: Amy Unruh
Data@Scale, Boston, 25 October, 2018
- : Michelle Casbon
- Kubeflow: Portable Machine Learning on Kubernetes: Michelle Casbon
Kafka Summit, San Francisco, 16-17 October, 2018
, 08-11 October, 2018
- Machine Learning at Scale with Kubernetes: Chris Cho
Cloud-Native, Docker, and Kubernetes Summit, Dallas, 12 September, 2018
, 11-13 September, 2018
- From Training to Serving: Deploying TensorFlow Models with Kubernetes: Brian Foo, Holden Karau, Jay Smith
- : Michelle Casbon
O’Reilly AI Conference, San Francisco, 4-7 September, 2018
- : Michelle Casbon
Open Source Summit, Vancouver, 29-31 August, 2018
- : Xin Zhang
- Introducing Kubeflow: A System for Deploying ML/AI on Kubernetes: Trevor Grant, Holden Karau
, 21-25 August, 2018
- Machine Learning at Scale with Kubernetes: Chris Cho
, 24-26 July, 2018
- AI Platform Showcase demo: Dan Sanche
  - Video
- : David Aronchick, Allon Cohen
  - Video
- : Michelle Casbon
  - Codelab
- : Michelle Casbon
  - Codelab
, 16-19 July, 2018
- TensorFlow Day: Hassle-free, scalable machine learning with Kubeflow: Barbara Fusinska
, 09-15 July, 2018
- Kubeflow: Pythonic Machine Learning at Scale on Kubernetes: David Aronchick, Paige Bailey
  - Video
, 26 June, 2018
- Keynote: Cloud Native ML with Kubeflow: David Aronchick, Chris Cho
Dockercon, San Francisco, 12 - 15 June, 2018
- : David Aronchick, Michelle Casbon
  - Video
, 9-11 May, 2018
- Architecture of an NLP Deployment: Michelle Casbon
KubeCon, Copenhagen, 2-4 May, 2018
- Interview: Building applications on Kubeflow: Jeremy Lewi
- Keynote: Cloud Native ML on Kubernetes: David Aronchick, Vishnu Kannan
  - Slides
- : David Aronchick, Jeremy Lewi
  - Video
- Kubeflow Intro: Michał Jastrzębski, Ala Raddaoui
  - Slides
- : Clive Cox
  - Video
- Conquering a Kubeflow Kubernetes Cluster with ksonnet, Ark, & Sonobuoy: David Aronchick, Kris Nova
- Building ML Products with Kubeflow: Jeremy Lewi, Stephan Fabel
  - Slides
- : Daniel Whitenack
  - Video
- Bringing Your Data Pipeline into the Machine Learning Era: Chris Gaun, Jörg Schad
KubeCon, Austin, 6-8 December, 2017
- : David Aronchick, Vishnu Kannan
  - Video