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LF Deep Learning Foundation Technical Advisory Council Meeting

LF Deep Learning Foundation Technical Advisory Council Meeting. January 31, 2019. Recording of Calls. This is a reminder that we have decided to record TAC meetings and store them on the TAC Wiki. Antitrust Policy Notice.

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LF Deep Learning Foundation Technical Advisory Council Meeting

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  1. LF Deep Learning FoundationTechnical Advisory Council Meeting January 31, 2019

  2. Recording of Calls • This is a reminder that we have decided to record TAC meetings and store them on the TAC Wiki.

  3. Antitrust Policy Notice • Linux Foundation meetings involve participation by industry competitors, and it is the intention of the Linux Foundation to conduct all of its activities in accordance with applicable antitrust and competition laws. It is therefore extremely important that attendees adhere to meeting agendas, and be aware of, and not participate in, any activities that are prohibited under applicable US state, federal or foreign antitrust and competition laws. • Examples of types of actions that are prohibited at Linux Foundation meetings and in connection with Linux Foundation activities are described in the Linux Foundation Antitrust Policy available at http://www.linuxfoundation.org/antitrust-policy. If you have questions about these matters, please contact your company counsel, or if you are a member of the Linux Foundation, feel free to contact Andrew Updegrove of the firm of Gesmer Undergone LLP, which provides legal counsel to the Linux Foundation.

  4. Agenda • Roll Call • Approval of Minutes • TAC / LF DL General Updates • GB F2F Meeting • Collaboration among LF DL projects • Next Meeting Information • Discussion / Q&A

  5. TAC Member Directory *TAC Chairperson

  6. Approval of Minutes • Draft minutes from the Jan 3 and Jan 17 meetings of the TAC were previously distributed to the TAC members • Proposed Resolution: • That the minutes of the Jan 3 and Jan 17 meetings of the Technical Advisory Council of the LF Deep Learning Foundation are hereby approved

  7. TAC / LF DL General Updates

  8. Current LF DL Projects Distributed training framework for TensorFlow, Keras, and PyTorch. Pyro is a universal probabilistic programming language that enables flexible and expressive deep probabilistic modeling. A framework designed to help DL cloud service providers to build cluster cloud services using different DL frameworks. A high-performance distributed ML platform based on Parameter Server, running on YARN and Apache Spark. Machine learning platform and marketplace for ML models. 01/2019 08/2018 08/2018 12/2018 03/2018

  9. LF DL Key Resources Web Site https://lfdl.io Landscape https://l.lfdl.io or https://landscape.lfld.io Mail Lists https://lists.deeplearningfoundation.org/ GitHub https://github.com/LFDLFoundation/ Artwork https://github.com/LFDLFoundation/artwork Technical Advisory Council https://lists.deeplearningfoundation.org/g/tac-general/wiki/Home

  10. Getting Involved Guide • Prime Guide to LF DL For Current and New Members • A detailed guide that offers information on: • LF DL key staff and elected leadership • Joining LF DL • Project profiles with resources per project • Hosting projects under LF DL • Ways to get involved with LF DL committees and projects • ETA: Feb 14, 2019 • It will be hosted on: https://github.com/LFDLFoundation/presentations

  11. LF DL on Github https://github.com/LFDLFoundation • Landscape code • LF DL Overview Deck (pdf, ppt) -- Please use this deck when presenting on LF DL • Artwork: LF DL logos and logos of hosted projects -- Please use these approved logos • Proposing projects, project lifecycle, previous proposals and presentations -- We now accept project proposal directly a a github pull request

  12. Landscape • A lot of incoming feedback: new categories, new projects, re-org of categories. • Over 30 new projects added since launch in December https://l.lfdl.io • Please try it out and send us your updates via github pull request.

  13. Website and Infra updates • We are going through the process to do an update to the website. ETA mid Feb. • We re-organized our MLs and Wiki space in line with best practices adopted by other LF Foundations. • If you have any suggestions for improvements, please email Jacqueline/Ibrahim.

  14. TAC Invited Project Presentations Dates per project to be confirmed in the coming weeks Pachyderm Pachyderm version controls data, similar to what Git does with code. You can track the state of your data over time, backtest models on historical data, share data with teammates, and revert to previous states of data. https://github.com/pachyderm/pachyderm Polyaxon A platform for reproducible and scalable machine learning and deep learning on kubernetes https://github.com/polyaxon/polyaxon Coach (Intel) Coach enables easy experimentation with state of the art Reinforcement Learning algorithms https://github.com/NervanaSystems/coach Petastorm (Uber) Enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. https://github.com/uber/petastorm Argo (Intuit) Container-native workflows for Kubernetes https://github.com/argoproj/argo TransmogrifAI (Salesforce) AutoML library for building modular, reusable, strongly typed machine learning workflows https://github.com/salesforce/TransmogrifAI

  15. Upcoming F2F Meeting on March 11th, 2019

  16. March 11th GB F2F Meeting • GB meeting on March 11th, 2019, 1:00 pm - 5:30 pm at the Ritz Carlton Half Moon Bay • Meeting is followed by social event from 5:30pm-7:30pm at Moss Beach Distillery • Attendees: GB, Chairs, Project Tech Leaders, and 1 rep from each General Member • Project Leaders are invited to present to the GB on their projects (tentatively scheduled to start at 4:00 pm) • Acumos (Jack Murray), Angel ML (Fitz Wang), EDL (Wu Yi), Horovod (Alex Sergeev), and Pyro (Fritz Obermeyer) • We have a room reserved for TAC / Project Tech Leaders that same day from 1:00 pm to 5:00 pm to meet with each other and explore possible collaboration between LF DL projects • We expect to send formal invitation and confirmed agenda within one week

  17. Creating Collaboration Opportunities Among LF DL Projects Open Discussion

  18. Open Discussion

  19. Next Meeting: Feb 14, 2019 Pachyderm • Join from PC, Mac, Linux, iOS or Android: https://zoom.us/j/430697670 • Or iPhone one-tap: • US: +16465588656,,430697670# or +16699006833,,430697670# • Or Telephone: • Dial(for higher quality, dial a number based on your current location): • US: +1 646 558 8656 or +1 669 900 6833 or +1 855 880 1246 (Toll Free) or +1 877 369 0926 (Toll Free) • Meeting ID: 430 697 670 • International numbers available: https://zoom.us/u/achYtcw7uN

  20. Questions / Discussion

  21. Legal Notices The Linux Foundation, The Linux Foundation logos, and other marks that may be used herein are owned by The Linux Foundation or its affiliated entities, and are subject to The Linux Foundation’s Trademark Usage Policy at https://www.linuxfoundation.org/trademark-usage, as may be modified from time to time. Linux is a registered trademark of Linus Torvalds. Please see the Linux Mark Institute’s trademark usage page at https://lmi.linuxfoundation.org for details regarding use of this trademark. Some marks that may be used herein are owned by projects operating as separately incorporated entities managed by The Linux Foundation, and have their own trademarks, policies and usage guidelines. TWITTER, TWEET, RETWEET and the Twitter logo are trademarks of Twitter, Inc. or its affiliates. Facebook and the “f” logo are trademarks of Facebook or its affiliates. LinkedIn, the LinkedIn logo, the IN logo and InMail are registered trademarks or trademarks of LinkedIn Corporation and its affiliates in the United States and/or other countries. YouTube and the YouTube icon are trademarks of YouTube or its affiliates. All other trademarks are the property of their respective owners. Use of such marks herein does not represent affiliation with or authorization, sponsorship or approval by such owners unless otherwise expressly specified. The Linux Foundation is subject to other policies, including without limitation its Privacy Policy at https://www.linuxfoundation.org/privacy and its Antitrust Policy at https://www.linuxfoundation.org/antitrust-policy. each as may be modified from time to time. More information about The Linux Foundation’s policies is available at https://www.linuxfoundation.org. Please email legal@linuxfoundation.org with any questions about The Linux Foundation’s policies or the notices set forth on this slide. 1/3/18

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