PyTorch Meetup #19

PyTorch isn't just another framework; it's the de-facto standard for Deep Learning.
Our community is dedicated to bringing together PyTorch users in London and those with a profound interest in ML and AI.
This is your platform to share experiences, network, seek advice, and initiate collaborations.

This event is packed with opportunities to learn, connect, and exchange ideas and knowledge with experts from both Revolut and the data industry.

Join us for exclusive talks from Revolut speakers and our partner, PyTorch, and dive into the world of Data Science.
Here’s what you can look forward to at the meet-up.

We'll have 3 amazing speakers at the event:
Vadim Andronov, Deep Learning Engineer (Computer Vision) at Revolut
Nikolay Falaleev, Head of AI at Sportlight Technology
Vincent Moens, Applied Machine Learning Research Scientist at Meta
Event Details:
Date: Thursday, 21st November 2024
Time: 18:00 (GMT+4)
Where: Revolut HQ Office
Agenda:

• 17:30–18:00 | Gathering
• 18:00–18:15 | Welcome & Intro
• 18:15–18:55 | Presentation: "End-to-end Visual Document Understanding" by Vadim Andronov + Q&A session
• 18:55–19:00 | Refreshment Break
• 19:00–19:40 | Presentation: "Optimising Video Pipelines for Neural Network Training with PyTorch" by Nikolay Falaleev + Q&A session
• 19:40–19:50 | Refreshment Break
• 19:50–20:30 | Presentation: "Breaking Free from CPU Bottlenecks: Unlocking PyTorch's Potential for Tiny Models" by Vincent Moens + Q&A session
• 20:30–21:30 | Networking

Registration:

Fill out this form to receive your exclusive invitation!

Please note that this is a private event, and you'll need an invitation to attend. Since spots are limited. You’ll receive your invitation by email 3 days before the event. If the event is fully booked, you will be placed on a waiting list and notified if a spot becomes available.

Important: Only those who have submitted the registration form will be considered for an invitation. For security purposes, only invited guests on the list will be granted access to the premises; anyone not on the list will not be allowed entry.