BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20180311T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20171105T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260405T213310Z UID:Uq1lIA DTSTART;VALUE=DATE:20171108 DTEND;VALUE=DATE:20171109 CLASS:PUBLIC CREATED:20171023T170844 DESCRIPTION: On Nov 8\, join ~180 devs at SF Python's presentation night an d learn more about Optimizing\, Profiling\, and Deploying High-Performance Spark ML and TensorFlow AI Models in Production. \n\n If you'd like to present a 5-mins lightning talk at this or future meetup\, please submit y our talk ideas here. \n\n Our generous sponsor Yelp will also provide pizz a and beer for the evening. \n\n PROGRAM \n\n Lightning talks (5-mins) \ n\n Bioinformatics: Running BLAST with Biopython by Sebastian Bassi \n\n Flamegraph that! Profiling tool with Saltstack and Rundeck by Ruth Grace W ong \n\n Induced Bias in Data and its Frameworks by Raul Maldonado \n\n M astering modern computing infrastructure by collaborating with an AI by Do n Dini \n\n Short talk (~10 mins + Q&\;A) \n\n Using Python to build an AI to play and win SNES StreetFighter II by Adam Fletcher \n\n Learn how Adam Fletcher &\; Jonathan Mortensen used python to build an AI that pl ays Super StreetFighter II on the SNES. They'll cover how Python provided the key glue between the emulator and AI\, and how the AI was built with g ym\, keras and tensorflow. They'll show example of game play and training\ , and talk about which bot beat which bot in the bot-v-bot tournament they ran at the Samsung Developer Conference. \n\n Bios:\nAdam Fletcher &\; Dr. Jonathan Mortensen are the co-founder of Gyroscope Software\; Gyrosco pe builds user engagement and user retention solutions for mobile games an d apps\, powered by machine learning. Prior to Gyroscope\, Adam ran SRE ( Site Reliability Engineering) teams that were responsible for Google’s p lanet scale network and YouTube’s video processing infrastructure and Jo nathan completed his PhD at Stanford University and was previously at Nuna \, where he worked with some of the largest\, messiest datasets in healthc are\, using them to make healthcare universally accessible and affordable. \n\n Main talk (~30 mins + Q&\;A) \n\n Optimizing\, Profiling\, and D eploying High-Performance Spark ML and TensorFlow AI Models in Production with GPUs \n\n Using the latest advancements from TensorFlow including th e Accelerated Linear Algebra (XLA) Framework\, JIT/AOT Compiler\, and Grap h Transform Tool\, I’ll demonstrate how to optimize\, profile\, and depl oy TensorFlow Models - and the TensorFlow Runtime - in GPU-based productio n environment. This talk is 100% demo based on open source tools and compl etely reproducible through Docker on your own GPU cluster. \n\n Bio \nChri s Fregly is Founder and Research Engineer at PipelineAI\, a Streaming Mach ine Learning and Artificial Intelligence Startup based in San Francisco. He is also an Apache Spark Contributor\, a Netflix Open Source Committer\, founder of the Global Advanced Spark and TensorFlow Meetup\, author of th e O’Reilly Training and Video Series titled\, "High-Performance TensorFl ow in Production." \n\n Previously\, Chris was a Distributed Systems Engi neer at Netflix\, a Data Solutions Engineer at Databricks\, and a Founding Member and Principal Engineer at the IBM Spark Technology Center in San F rancisco. \n\n Agenda: \n\n 6:00p - Check-in and mingle\, with food provi ded by our generous sponsor Zenefits! \n\n 7:05p - Welcome \n\n 7:30p - Do or close \n\n 7:10p - Announcements\, lightning talks and main talk \n\n 8 :15p - More mingling \n\n 9:30p - Hard stop \n\n SF Python is run by volun teers aiming to foster the Python community in the Bay Area. Please consid er making a donation to SF Python and saying a big thank you to Yelp for p roviding pizza\, beer\, and the venue for this Wednesday's meetup. \n\n Ye lp sees 89 million mobile users and 79 million desktop users every month. Keeping everything running smoothly requires the best and brightest in the industry. Their engineers come from diverse technical backgrounds and val ue digital craftsmanship\, open-source\, and creative problem-solving. Th ey write tests\, review code\, and push multiple times a day. Come out an d talk to them. \n LAST-MODIFIED:20240728T211358 LOCATION:Yelp\, 140 Montgomery Street\, San Francisco\, CA ORGANIZER:mailto:grace@pybay.com SUMMARY:Lightning Talks & Learn how to optimize\, profile\, and deploy Tens orFlow in a Production Environment URL;VALUE=URI:https://ti.to/sf-python/optimize-profile-and-deploy-TensorFlo w URL;VALUE=URI:https://ti.to/sf-python/optimize-profile-and-deploy-TensorFlo w END:VEVENT BEGIN:VEVENT DTSTAMP:20260405T213310Z UID:Uq1lIA1018487 DTSTART;TZID=America/Los_Angeles:20170412T180000 DTEND;TZID=America/Los_Angeles:20170412T213000 CLASS:PUBLIC CREATED:20171023T170857 LAST-MODIFIED:20171122T010428 ORGANIZER:mailto:grace@pybay.com SUMMARY:[Lightning Talks & Learn how to optimize\, profile\, and deploy Ten sorFlow in a Production Environment] SF Python Meetup URL;VALUE=URI:https://ti.to/sf-python/optimize-profile-and-deploy-TensorFlo w URL;VALUE=URI:https://ti.to/sf-python/optimize-profile-and-deploy-TensorFlo w END:VEVENT END:VCALENDAR