Bring your laptop and join us as Allan Stevenson gives an interactive overview of Weights and Biases – a GitHub for ML models!

Listen, learn and participate in a short and simple competition – including the opportunity to win swag!!

Track everything you need to make your models reproducible with Weights & Biases— from hyperparameters and code to model weights and dataset versions.

Weights & Biases helps your ML team unlock their productivity by optimizing, visualizing, collaborating on, and standardizing their model and data pipelines – regardless of framework, environment, or workflow.

Think of W&B like GitHub for machine learning models. With a few lines of code, save everything you need to debug, compare and reproduce your models — architecture, hyperparameters, git commits, model weights, GPU usage, and even datasets and predictions.

Used by ML engineers at OpenAI, Lyft, Pfizer, Qualcomm, NVIDIA, Toyota, GitHub, and MILA, W&B is part of the new standard of best practices for machine learning. W&B is free for personal use and academic projects, and it’s easy to get started.

Register for this in-person event in Glasgow via the ‘Learn More’ link below.