What weâre about
đ This virtual group is for data scientists, machine learning engineers, and open source enthusiasts.
Every month weâll bring you two diverse speakers working at the cutting edge of data science, machine learning, AI and computer vision.
- Are you interested in speaking at a future Meetup?
- Is your company interested in sponsoring a Meetup?
Contact the Meetup organizers!
This Meetup is sponsored by Voxel51, the lead maintainers of the open source FiftyOne computer vision toolset. To learn more about FiftyOne, visit the project page on GitHub.
đŁ Past Speakers
* Sage Elliott at Union.ai
* Michael Wornow at Microsoft
* Argo Saakyan at Veryfi
* Justin Trugman at Softwaretesting.ai
* Johannes Flotzinger at Universität der Bundeswehr Mßnchen
* Harpreet Sahota at Deci,ai
* Nora Gourmelon at Friedrich-Alexander-Universität Erlangen-Nßrnberg
* Reid Pryzant at Microsoft
* David Mezzetti at NeuML
* Chaitanya Mitash at Amazon Robotics
* Fan Wang at Amazon Robotics
* Mani Nambi at Amazon Robotics
* Joy Timmermans at Secury360
* Eduardo Alvarez at Intel
* Minye Wu at KU Leuven
* Jizhizi Li at University of Sydney
* Raz Petel at SightX
* Karttikeya Mangalam at UC Berkeley
* Dolev Ofri-Amar at Weizmann Institute of Science
* Roushanak Rahmat, PhD
* Folefac Martins
* Zhixi Cai at Monash University
* Filip Haltmayer at Zilliz
* Stephanie Fu at MIT
* Shobhita Sundaram at MIT
* Netanel Tamir at Weizmann Institute of Science
* Glenn Jocher at Ultralytics
* Michal Geyer at Weizmann Institute of Science
* Narek Tumanya at Weizmann Institute of Science
* Jerome Pasquero at Sama
* Eric Zimmermann at Sama
* Victor Anton at Wildlife.ai
* Shashwat Srivastava at Opendoor
* Eugene Khvedchenia at Deci.ai
* Hila Chefer at Tel-Aviv University
* Zhuo Wu at Intel
* Chuan Guo at University of Alberta
* Dhruv Batra Meta & Georgia Tech
* Benjamin Lahner at MIT
* Jiajing Chen at Syracuse University
* Soumik Rakshit at Weights & Biases
* Jiajing Chen at Syracuse University
* Paula Ramos, PhD at Intel
* Vishal Rajput at Skybase
* Cameron Wolfe at Alegion/Rice University
* Julien Simon at Hugging Face
* Kris Kitani at Carnegie Mellon University
* Anna Kogan at OpenCV.ai
* Kacper Ĺukawski at Qdrant
* Sri Anumakonda
* Tarik Hammadou at NVIDIA
* Zain Hasan at Weaviate
* Jai Chopra at LanceDB
* Sven Dickinson at University of Toronto & Samsung
* Nalini Singh at MIT
đ Resources
* YouTube Playlist of previous Meetups
* Recap blogs including Q&A and speaker resource links
Upcoming events (4+)
See all- Network event8 attendees from 14 groups hostingJuly 29 - Virtual Open Office Hoursâ¨with Prof Jason CorsoLink visible for attendees
Virtual Open Office Hoursâ¨with Professor Jason Corso
- Drop in on a weekly and informal chat with Professor Jason Corso!
- When: Every Monday | 12 PM Eastern
- Join the Zoom: https://us02web.zoom.us/j/85383168408
What are Open Office Hours?
These chats are for students, engineers, researchers, founders, open source contributors, coders, roboticists, authors, and sci-fi enthusiasts. Office Hours take place every Monday at 12 PM Eastern for 60 minutes.
What topics are open for discussion?
In addition to your questions, Professor Corso would like to hear your perspectives, such as challenges and opportunities in your research or what robot you would choose to join you on a desert island and why.
About Dr. Jason Corso
Dr. Jason Corso is currently a Professor of Robotics and Electrical Engineering & Computer Science at the University of Michigan. He received his Ph.D. in Computer Science at The Johns Hopkins University in 2005. He is a recipient of the NSF CAREER award (2009), ARO Young Investigator award (2010), Google Faculty Research Award (2015) and the DARPA CSSG (2009).
He is also the Co-Founder and Chief Scientist of Voxel51, a computer vision startup that is building the state of the art platform for video and image based applications.
- Network event1 attendee from 14 groups hostingAug 5 - Virtual Open Office Hoursâ¨with Prof Jason CorsoLink visible for attendees
Virtual Open Office Hoursâ¨with Professor Jason Corso
- Drop in on a weekly and informal chat with Professor Jason Corso!
- When: Every Monday | 12 PM Eastern
- Join the Zoom: https://us02web.zoom.us/j/85383168408
What are Open Office Hours?
These chats are for students, engineers, researchers, founders, open source contributors, coders, roboticists, authors, and sci-fi enthusiasts. Office Hours take place every Monday at 12 PM Eastern for 60 minutes.
What topics are open for discussion?
In addition to your questions, Professor Corso would like to hear your perspectives, such as challenges and opportunities in your research or what robot you would choose to join you on a desert island and why.
About Dr. Jason Corso
Dr. Jason Corso is currently a Professor of Robotics and Electrical Engineering & Computer Science at the University of Michigan. He received his Ph.D. in Computer Science at The Johns Hopkins University in 2005. He is a recipient of the NSF CAREER award (2009), ARO Young Investigator award (2010), Google Faculty Research Award (2015) and the DARPA CSSG (2009).
He is also the Co-Founder and Chief Scientist of Voxel51, a computer vision startup that is building the state of the art platform for video and image based applications.
- Network event15 attendees from 14 groups hostingDeveloping FiftyOne Plugins Workshop - Aug 7Link visible for attendees
Are you ready to take your computer vision tooling to the next level? Open source FiftyOne is the most flexible computer vision toolkit on the planet. By tapping into its builtin Plugin framework, you can extend your FiftyOne experience and streamline your workflows, building Gradio-like applications with data at their core.
Register for the Zoom: https://voxel51.com/computer-vision-events/developing-fiftyone-plugins-workshop-aug-7-2024/
From concept interpolation to image deduplication, optical character recognition, and even curating your own AI art gallery by adding generated images directly into a dataset, your imagination is the only limit. Join us to discover how you can unleash your creativity and interact with data like never before.
In the workshop weâll cover:
- FiftyOne Plugins â what are they?
- Installing a plugin
- Creating your own Python plugin
- Python plugin tips
- Creating your own JavaScript plugin
- Publishing your plugin
Prerequisites
A working knowledge of Python and basic familiarity with FiftyOne. All attendees will get access to the tutorials, videos, and code examples used in the workshop.
Check out some these popular plugins
- VoxelGPT: AI Assistant for Computer Vision
- Image Quality Issues
- Image Deduplication
- AI Art Gallery
- Optical Character Recognition
- Visual Question Answering
Resources for the workshop
- FiftyOne Plugins Documentation
- Python Operators API Docs
- FiftyOne Plugins Repo
- Plugins Channel in FiftyOne Community Slack
Videos
- Network event154 attendees from 14 groups hostingAug 8 - AI, Machine Learning and Computer Vision MeetupLink visible for attendees
When
August 8, 2024 â 10:00 AM Pacific / 1:00 PM EasternWhere
VirtualRegister for the Zoom: https://voxel51.com/computer-vision-events/ai-machine-learning-computer-vision-meetup-aug-8-2024/
GenAI for Video: Diffusion-Based Editing and Generation
Recently, diffusion-based generative AI models have gained popularity due to their wide applications in the image domain. Additionally, there is growing attention to the video domain because of its ubiquitous presence in real-world applications. In this talk, we will discuss the future of GenAI in the video domain, highlighting recent advancements and exploring its potential and impact on video editing and generation. We will also examine the challenges and opportunities these technologies present, offering insights into how they can revolutionize the video industry.
About the Speaker
Ozgur Kara is a PhD student in the Computer Science Department at the University of Illinois at Urbana-Champaign. He earned his Bachelorâs degree in Electrical and Electronics Engineering from BoÄaziçi University. His research focuses on generative AI and computer vision, particularly on generative AI and its applications in video.
Evaluating RAG Models for LLMs: Key Metrics and Frameworks
Evaluating the model performance is the key for ensuring effectiveness and reliability of LLM models. In this talk, we will look into the intricate world of RAG evaluation metrics and frameworks, exploring the various approaches to assessing model performance. We will discuss key metrics such as relevance, diversity, coherence, and truthfulness and examine various evaluation frameworks, ranging from traditional benchmarks to domain-specific assessments, highlighting their strengths, limitations, and potential implications for real-world applications.
About the Speaker
Abi Aryan is the founder of Abide AI and a machine learning engineer with over eight years of experience in the ML industry building and deploying machine learning models in production for recommender systems, computer vision, and natural language processingâwithin a wide range of industries such as ecommerce, insurance, and media and entertainment. Previously, she was a visiting research scholar at the Cognitive Sciences Lab at UCLA where she worked on developing intelligent agents. Also, she has authored research papers on AutoML, multi agent systems, and LLM cost modeling and evaluations and is currently authoring LLMOps: Managing Large Language Models in Production for O'Reilly Publications.
Why You Should Evaluate Your End-to-End LLM applications with In-House Data
This task discusses end-to-end NLP evaluations, focusing on key areas, common pitfalls, and the workings of production evaluation systems. It also explores how to fine-tune in-house LLMs as judges using custom data for more accurate performance assessments.
About the Speaker
Mahesh Deshwal is a Data Scientist and AI researcher with over 5.5 years of experience in using ML and AI to solve business problems, particularly in Computer Vision, NLP, recommendation, and personalization. As the author of the paper PHUDGE and an active open source contributor, he excels in delivering end-to-end solutions, from user requirements to deploying scalable models using MLOps.
Past events (98)
See all- Network event73 attendees from 13 groups hostingJuly 24 - Getting Started with FiftyOne WorkshopThis event has passed