What we're about

PyTorch is the fastest growing framework for deep learning. It is easy to start and powerful for research and production use cases. The framework is open source and enjoys a strong community (see fast.ai, for example) for computer vision, natural language processing, and other machine learning problems. If you want to learn and grow yourself and the framework, you are welcome to join us for introduction sessions, learning groups, professional experts sharing and meet like minded friends.

Please feel free to join our Slack channel here: https://bit.ly/2SfYvgo


PyTorch NYC is dedicated to providing a harassment-free experience for everyone. We do not tolerate harassment of participants in any form. All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery is not appropriate.
Be kind to others. Do not insult or put down others. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate.

Thank you for helping make this a welcoming, friendly community for all.

CoC summary is adopted from NumFOCUS: https://numfocus.org/code-of-conduct

Upcoming events (1)

Serving PyTorch Models in Production [Data Umbrella co-promotion]

Needs a location

This event is organized by Data Umbrella.

## Link to join the webinar here:
Zoom Link: https://us06web.zoom.us/meeting/register/tZ0vdOytpj0jGdVrlmBZgOVG_TS2QAJREIRZ
Video Recording
This event will be recorded and placed on our YouTube. We usually have it up within 24 hours of the event. Subscribe to our YouTube and set your notifications:
7am PT / 10am ET / 5pm EAT / 7:30 PM IST

## Speaker
Nidhin Pattaniyil and Vishal Rathi

## Talk Level

## Pre-reqs
-Basics of Machine Learning.
-Some familiarity with PyTorch or TensorFlow.
-Beginner knowledge of Python.

## Prep Work

## Resources
Will be provided later.

## Event
This talk is for a data scientist or ML engineer looking to serve their PyTorch models in production. It will cover post training steps that should be taken to optimize the model such as quantization and torch script. It will also walk the user in packaging and serving the model through Facebook's TorchServe.

## Speaker
Nidhin Pattaniyil is a Machine Learning Engineer in Walmart Search.
Vishal Rathi is a Software Engineer in Walmart Search.
LinkedIn: https://www.linkedin.com/in/nidhinpattaniyil/
GitHub: https://github.com/npatta01
LinkedIn: https://www.linkedin.com/in/vishalkumarrathi


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Past events (7)

Photos (5)