What we’re about
đź–– This virtual group is for data scientists, machine learning engineers, and open source enthusiasts.
Every month we’ll bring you 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.
Upcoming events (4+)
See all- Network event643 attendees from 36 groups hostingApril 5-6: FREE 2-Day Deep Learning Fundamentals NVIDIA DLI Certification CourseLink visible for attendees
Register for the FREE 2 day training course.
Deep Learning Fundamentals with PyTorch and FiftyOne
NVIDIA DLI Certification Workshop for AcademiaApril 5-6, 2025 | 10 AM – 5 PM CET
About the Workshop
Note: This course is only available to university students, researchers and teaching staff. A valid university email address is required to obtain a certificate.
This two day workshop is an extension of NVIDIA’s DLI Deep Learning Fundamentals Course.
Learn to implement neural networks for image classification from scratch using PyTorch. Learn about stochastic gradient descent, multilayer perceptrons, convolutional neural networks, and transformers. We will explore data augmentation, workflow management, and dataset curation using FiftyOne, a powerful open source tool for image dataset curation.
On the first day we will focus on building and training neural networks with PyTorch.
On the second day we will focus on visual dataset curation with FiftyOne and iterative improvement of image classification models.
Instructor
Antonio Rueda-Toicen, an AI Engineer in Berlin, has extensive experience in deploying machine learning models and has taught over 300 professionals. He is currently a Research Scientist at the Hasso Plattner Institute. Antonio is a certified instructor of deep learning and diffusion models at NVIDIA’s Deep Learning Institute.
Prerequisites
- Programming Prerequisites: Python fundamentals
- Mathematics Prerequisites: Statistics and probability, linear algebra, calculus
Technologies Used in the Workshop
- Python
- Jupyter
- PyTorch
- Pandas
- FiftyOne
- Google Colab
- Github Codespaces
Assessment Type
Skills-based coding assessments evaluate students’ ability to train a deep learning model to classify images with high accuracy.
Certificate
Upon successful completion of the coding assessment, participants will receive an NVIDIA DLI certificate to recognize their subject matter competency and support professional career growth.
Hardware Requirements
Desktop or laptop computer capable of running the latest version of Chrome or Firefox. Each participant will be provided with dedicated access to a fully configured, GPU-accelerated server in the cloud.
Language
English
- Network event71 attendees from 36 groups hostingApril 8 - Multi-label Classification with Binary Cross Entropy WorkshopLink visible for attendees
When and Where
- April 8, 2025
- 6:30 PM to 8:30 PM CET | 9:30 AM to 11:30 AM Pacific
- Workshops are delivered over Zoom
About the Workshop
Join us for a 12-part, hands-on series that teaches you how to work with images, build and train models, and explore tasks like image classification, segmentation, object detection, and image generation. Each session combines straightforward explanations with practical coding in PyTorch and FiftyOne, allowing you to learn core skills in computer vision and apply them to real-world tasks.
In this session, we’ll focus on multi-label classification for real-world imagery. Build a model that identifies multiple environmental labels from Amazon satellite images, applying binary cross-entropy for training and analyzing predictions with FiftyOne.
These are hands-on maker workshops that make use of GitHub Codespaces, Kaggle notebooks, and Google Colab environments, so no local installation is required (though you are welcome to work locally if preferred!)
Workshop Resources
You can find the workshop materials in this GitHub repository.
About the Instructor
Antonio Rueda-Toicen, an AI Engineer in Berlin, has extensive experience in deploying machine learning models and has taught over 300 professionals. He is currently a Research Scientist at the Hasso Plattner Institute. Since 2019, he has organized the Berlin Computer Vision Group and taught at Berlin’s Data Science Retreat. He specializes in computer vision, cloud technologies, and machine learning. Antonio is also a certified instructor of deep learning and diffusion models in NVIDIA’s Deep Learning Institute.
- Network event34 attendees from 36 groups hostingApril 15 - Interpretability in Computer Vision: CAM & Grad-CAM WorkshopLink visible for attendees
When and Where
- April 15, 2025
- 6:30 PM to 8:30 PM CET | 9:30 AM to 11:30 AM Pacific
- Workshops are delivered over Zoom
About the Workshop
Join us for a 12-part, hands-on series that teaches you how to work with images, build and train models, and explore tasks like image classification, segmentation, object detection, and image generation. Each session combines straightforward explanations with practical coding in PyTorch and FiftyOne, allowing you to learn core skills in computer vision and apply them to real-world tasks.
In this session, we’ll learn interpretability techniques such as Class Activation Mapping and Grad-CAM. Build a model to analyze predictions and visualize important image regions with FiftyOne.
These are hands-on maker workshops that make use of GitHub Codespaces, Kaggle notebooks, and Google Colab environments, so no local installation is required (though you are welcome to work locally if preferred!)
Workshop Resources
You can find the workshop materials in this GitHub repository.
About the Instructor
Antonio Rueda-Toicen, an AI Engineer in Berlin, has extensive experience in deploying machine learning models and has taught over 300 professionals. He is currently a Research Scientist at the Hasso Plattner Institute. Since 2019, he has organized the Berlin Computer Vision Group and taught at Berlin’s Data Science Retreat. He specializes in computer vision, cloud technologies, and machine learning. Antonio is also a certified instructor of deep learning and diffusion models in NVIDIA’s Deep Learning Institute.
- Network event17 attendees from 36 groups hostingApril 16 - Getting Started with FiftyOne WorkshopLink visible for attendees
When and Where
April 16, 2025 | 9:00 – 10:30 AM Pacific
About the Workshop
Want greater visibility into the quality of your computer vision datasets and models? Then join us for this free 90-minute, hands-on workshop to learn how to leverage the open source FiftyOne computer vision toolset. At the end of the workshop you’ll be able to:
- Visualize complex datasets
- Explore embeddings
- Analyze and improve models
- Perform advanced data curation
- Integrations
This workshop will explore the importance of taking a data-centric approach to computer vision workflows. We will start with importing and exploring visual data, then move to querying and filtering. Next, we’ll look at ways to extend FiftyOne’s functionality and simplify tasks using plugins and native integrations. We’ll generate candidate ground truth labels, and then wrap things up by evaluating the results of fine tuning a foundational model.
Along the way, we will show you the power of combining the FiftyOne SDK with visualizations in the FiftyOne App. At the conclusion of the workshop we will walk through an advanced demo based on a 3D view reconstruction workflow.
Prerequisites: working knowledge of Python and basic computer vision concepts.
All attendees will get access to the tutorials, videos, and code examples used in the workshop
Past events (23)
See all- Network event153 attendees from 36 groups hostingApril 1 - Training Techniques for Convolutional Networks WorkshopThis event has passed
