Events Calendar
Events related to Kubeflow
This is a nonexhaustive list of events (in reverse chronological order) with talks and workshops about Kubeflow. Please edit this page and send a pull request, or raise a GitHub issue, if something is missing or incorrect.
- Kubeflow Doc Sprint - Kirkland and online,
10-12 July 2019
- Wednesday 10 July: Welcome; docs/code development; learning sessions.
- Thursday 11 July: Sprint updates; docs/code development; learning sessions.
- Friday 12 July: Docs/code development; sprint demos.
- Google Cloud Next, San Francisco, 9-11 April, 2019
- Undoing Human Bias at Scale With Kubeflow: 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
- Multi-User Environments, Kam Kasravi & Ebi Shahbazi, Intel
- On-Premise: Debo Dutta, Cisco
- MiniKF: Local Kubeflow: Vangelis Koukis, Arrikto
- TensorFlow 2.0 is coming!: Paige Bailey, Google
- Overview of Kubeflow Pipelines: Pavel Dournov, Google
- Feast: Feature Storage for Machine Learning: Tim Sell, Google
- Understanding the Earth: Machine Learning with Kubeflow Pipelines: Faustine Li, Descartes Labs
- Kubeflow Experiments at LinkedIn: Tengfei Mu & Abin Shahab, LinkedIn
- 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
- ModelDB: Open-source model management: Manasi Vartak, Verta.ai
- Katib & Hyperparameter Tuning: Richard Liu, Google
- Kubeflow User Experience: Derek Ferguson, JP Morgan Chase
- Kubeflow & TFX: Kevin Haas, Google
- Kubeflow inference on Knative: Dan Sun, Bloomberg
- Arena: Yang Che, Alibaba
- Examples, Codelabs, & Demos: Michelle Casbon, Google
- Data Day Texas, Austin, 26 January, 2019
- Kubeflow: Portable Machine Learning on Kubernetes: Michelle Casbon
- AI NEXTCon, Seattle, 23-26 January, 2019
- Build and Manage Machine Learning Pipelines: Amy Unruh
- KubeCon, Seattle, 11-13 December, 2018
- Deep Dive: Kubeflow BoF: Jeremy Lewi, David Aronchick
- Eco-Friendly ML: How the Kubeflow Ecosystem Bootstrapped Itself: Peter McKinnon
- Machine Learning as Code: Jay Smith
- Natural Language Code Search for GitHub Using Kubeflow: Jeremy Lewi, Hamel Husain
- Workshop: Kubeflow End-to-End: GitHub Issue Summarization: Amy Unruh, Michelle Casbon
- Women in ML & Data Science, Melbourne, 5 December, 2018
- Panel: Michelle Casbon
- YOW!, Melbourne, 4-7 December, 2018
- Kubeflow Explained: NLP Architectures on Kubernetes: Michelle Casbon
- YOW!, Brisbane, 3-4 December, 2018
- Kubeflow Explained: NLP Architectures on Kubernetes: Michelle Casbon
- YOW!, Sydney, 27-30 November, 2018
- Kubeflow Explained: NLP Architectures on Kubernetes: Michelle Casbon
- Scale By the Bay, San Francisco, 15-17 November, 2018
- Data Engineering & AI Panel: Michelle Casbon
- KubeCon, Shanghai, 13-15 November, 2018
- A Tale of Using Kubeflow to Make the Electricity Smarter in China: Julia Han, Xin Zhang
- A Year of Democratizing ML With Kubernetes & Kubeflow: David Aronchick, Fei Xue
- Benchmarking Machine Learning Workloads on Kubeflow: Xinyuan Huang, Ce Gao
- CI/CD Pipelines & Machine Learning: Jeremy Lewi
- Kubeflow From the End User’s Perspective: Xin Zhang
- Kubernetes CI/CD Hacks with KicroK8s and Kubeflow: Land Lu, Zhang Lei Mao
- Machine Learning on Kubernetes BoF: David Aronchick
- Operating Deep Learning Pipelines Anywhere Using Kubeflow: Jörg Schad, Gilbert Song
- DevFest, Seattle, 3 November, 2018
- Kubeflow End to End: Amy Unruh
- Data@Scale, Boston, 25 October, 2018
- Women in Engineering Panel: Michelle Casbon
- Kubeflow: Portable Machine Learning on Kubernetes: Michelle Casbon
- Kafka Summit, San Francisco, 16-17 October, 2018
- O’Reilly AI Conference, London, 08-11 October, 2018
- Machine Learning at Scale with Kubernetes: Chris Cho
- Cloud-Native, Docker, and Kubernetes Summit, Dallas, 12 September, 2018
- O’Reilly Strata Data, New York, 11-13 September, 2018
- From Training to Serving: Deploying TensorFlow Models with Kubernetes: Brian Foo, Holden Karau, Jay Smith
- Kubeflow Explained: Portable Machine Learning on Kubernetes: Michelle Casbon
- O’Reilly AI Conference, San Francisco, 4-7 September, 2018
- TensorFlow Days: Kubeflow: Portable Machine Learning on Kubernetes: Michelle Casbon
- Open Source Summit, Vancouver, 29-31 August, 2018
- Elastic AI Pipeline with Kubeflow for Intelligent SKU Management in a Large Chinese Retailer: Xin Zhang
- Introducing Kubeflow: A System for Deploying ML/AI on Kubernetes: Trevor Grant, Holden Karau
- JupyterCon, New York, 21-25 August, 2018
- Machine Learning at Scale with Kubernetes: Chris Cho
- Google Next, San Francisco, 24-26 July, 2018
- AI Platform Showcase demo: Dan Sanche
- Machine Learning Made Easy: How to Build Flexible, Portable ML Stacks with Kubeflow and Elastifile: David Aronchick, Allon Cohen
- Spotlight Lab: Introduction to Kubeflow on Google Kubernetes Engine: Michelle Casbon
- Spotlight Lab: Kubeflow End-to-End: GitHub Issue Summarization: Michelle Casbon
- O’Reilly Open Source Convention, Portland, 16-19 July, 2018
- TensorFlow Day: Hassle-free, scalable machine learning with Kubeflow: Barbara Fusinska
- SciPy, Austin, 09-15 July, 2018
- Kubeflow: Pythonic Machine Learning at Scale on Kubernetes: David Aronchick, Paige Bailey
- Container Day, Paris, 26 June, 2018
- Keynote: Cloud Native ML with Kubeflow: David Aronchick, Chris Cho
- Dockercon, San Francisco, 12 - 15 June, 2018
- Keynote: Moby’s Cool Hacks: David Aronchick, Michelle Casbon
- QCon, São Paulo, 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
- Kubeflow Deep Dive: David Aronchick, Jeremy Lewi
- Kubeflow Intro: Michał Jastrzębski, Ala Raddaoui
- Serving ML Models at Scale with Seldon & Kubeflow: Clive Cox
- Conquering a Kubeflow Kubernetes Cluster with ksonnet, Ark, & Sonobuoy: David Aronchick, Kris Nova
- Building ML Products with Kubeflow: Jeremy Lewi, Stephan Fabel
- Compliant Data Management & Machine Learning on Kubernetes: Daniel Whitenack
- Bringing Your Data Pipeline into the Machine Learning Era: Chris Gaun, Jörg Schad
- KubeCon, Austin, 6-8 December, 2017
- “Hot Dog or Not Hot Dog” at Scale - Kubernetes & Machine Learning: David Aronchick, Vishnu Kannan
Feedback
Was this page helpful?
Glad to hear it! Please tell us how we can improve.
Sorry to hear that. Please tell us how we can improve.
Last modified 21.05.2019: Added the doc sprint to the events page. (#728) (cd886567)