Track everything you need to make your models reproducible with Weights & Biases— from hyperparameters and code to model weights and dataset versions. Weights & Biases (W&B) helps your ML research team unlock their productivity by optimizing, visualizing, collaborating on, and standardizing their model and data pipelines – regardless of framework, environment, or workflow.
In Part 1 of this event, we'll cover how to professionalise your ML training with Weights & Biases.
In Part 2, we will run a 45-minute Kaggle-based ML competition for the chance to win amazing Weights & Biases SWAGS! To participate, you will need to create a free Weights & Biases account and a free Kaggle account. You do not need to install anything on your laptop, as you will be provided Google Colab notebooks. Everything else will be explained at the event!
Looking forward to seeing you there!
Weights & Biases
Morgan is a Growth ML Engineer at Weights & Biases. He has a background in NLP and previously worked at Meta in the Safety team where he helped classify and flag potentially high severity content for removal.
Morgan is a Growth ML Engineer at Weights & Biases. He has a background in NLP and previously worked at Meta in the Safety team where he helped classify and flag potentially high severity content for removal.
GDSC Lead
Core Team Member
University of Bologna
Core Team Member
University of Bologna
Core Team Member
University of Bologna
Cyber security expert/Core Team Member
Core Team Member
