Events Calendar
Events related to Kubeflow
This is a nonexhaustive list of events (in reverse chronological order) with talks and workshops about Kubeflow. Please raise a GitHub issue if something is missing or incorrect.
- Data Day Texas, Austin, 26 January, 2019
- Kubeflow: Portable Machine Learning on Kubernetes: Michelle Casbon
- 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
Last modified 29.01.2019: Add links for Data Day TX (#451) (3d508fef)