We’re extremely excited to announce Replit’s very first Machine Learning Hackathon, in partnership with Weights and Biases! If you’re interested in joining the waitlist, head over to the official site.
Weights and Biases is a machine learning platform that tracks everything you need to make your models reproducible – from hyperparameters and code to model weights and dataset versions. If you’ve never worked with W&B, check out this example Repl for an introduction!
The total prize pool is over 500,000 Cycles – there are multiple opportunities to win, with prizes for Best Weights & Biases Report, Best Repl, an Honorable Mention, and of course, the Grand Prize of 300,000 cycles.
How do I participate?
To start off, you’ll need to register for the waitlist which you can do here. If selected to participate, you’ll receive an email with all of the details, including access to GPUs and a Cycles stipend to power your project. Teams and individuals over the age of 13 are eligible to enter, and one entry per person/team is permitted. You’ll need a Replit account, as well as a Weights & Biases account, to participate.
The Machine Learning Hackathon will take place from February 4th to 11th, 2023. On February 4th, join us for the live opening ceremony where we’ll work through a tutorial, announce the prizes, and review the rules for submission!
To submit your project, you’ll return to the site and use the submission form, making sure to select which prizes you wish to compete for! To be eligible for the Best Replit Project prize, you’ll also need to publish your work to Community with the #wandb tag. All projects must be submitted by 11:59PM PST on February 11, 2023.
When the hackathon ends and all projects are submitted, the judges have 4 days to choose the winners. The judges will be choosing the winners based on the prize categories listed on the site. Be sure to tune in to our closing ceremony livestream on YouTube on February 15th to hear us announce the winners live!
Resources to Get Started
If you’re just getting started with your machine learning journey, not to worry – we’ve got plenty of resources to get you setting up your models and making discoveries in no time.
We're also hosting Weights & Biases CEO Lukas Biewald and our very own Amjad Masad for a fireside chat on the future of ML on January 18th, where we'll show off what you can do when you combine the power of W&B and Replit. Join us live or watch on-demand anytime on our YouTube channel.
Weights & Biases Community Resources
- Photo Prediction Repl with Weights & Biases
- Weights & Biases Official Docs
- Weights & Biases Community Blog
- Weights & Biases Community Discord
- Example Weights & Biases Reports
Replit Resources
- Python Data Science + GPUs - Torch example
- Tensorflow Demo
