PyTorch Resources

PyTorch is an open source machine learning platform that provides a seamless path from research prototyping to production deployment. 

Get started by installing PyTorch locally, or with one of the supported cloud platforms.

• General Resources

• Inspiration

• First time using PyTorch 

• Credits & AWS Resources

• Support/Contact Us

• Team Matching 

General Resources

• PyTorch Documentation

• NEW: PyTorch Tutorials on YouTube

• PyTorch Tutorials

• PyTorch.org Blog Posts

• PyTorch Medium Articles

• PyTorch YouTube

• PyTorch Ecosystem Projects

• PyTorch Hub

• PyTorch Discussion Forum

• PyTorch GitHub Examples: A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

• Awesome PyTorch List by @bharathgs: A comprehensive list of PyTorch related content on GitHub, such as different models, implementations, helper libraries, tutorials, etc.

• The Incredible PyTorch by @ritchieng: A curated list of tutorials, papers, projects, communities and more relating to PyTorch. 

• Fast.ai online courses

Inspiration

• Global PyTorch Summer Hackathon 2019 submissions 

• PyTorch Summer Hackathon 2019 in California submissoins 

• Facebook AI - PyTorch Hackathon 2020 submissions 

First time using PyTorch

• Deep Learning with PyTorch: A 60 Minute Blitz 

• Practical Deep Learning for Coders, v3 by fast.ai

• Intro to Deep Learning with PyTorch

Credits & AWS Resources

Request $100 AWS Credits for your computing costs. Please allow 3 business days for your request to be reviewed. Credits will be provided to verified registrants until the supplies run out.

• AWS Credit redemption page: https://aws.amazon.com/awscredits/
• Getting started:
• PyTorch in Deep Learning Containers
• Deep Learning AMI
• Using PyTorch with SageMaker
• We have a SageMaker deep dive video series here

Connect via Slack

Join our competition Slack channel. You can use this channel to not only talk in real time with other participants (and maybe find a teammate), but also to ask questions of the competition managers. Just make sure to be respectful – we all have the same goal (building cool stuff).

Use the competition Participants page to connect

In our experience, it’s more fun to code with a friend. On the Participants tab, you can:

• Look for teammates by introducing yourself to the community. Mention any ideas you have and what kind of teammates you’re looking for.

• Sort participants by the number of projects and followers they have or by registration date.

• Search participants by name, skills, and portfolio info.

• Reach out to potential teammates and get to know each other.

• Collaborate on something amazing!

Need help?

General Questions: If you have a question about the competition rules, contact us at support@devpost.com. 

Questions related to PyTorch: Check the PyTorch forum, and the product documentation.