Track everything you need to make your ML 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 professionalize your ML training with Weights & Biases. In Part 2, we will run a 45-minute Kaggle-based ML competition with the chance to win amazing Weights & Biases SWAGs! To participate, you will need to create a free Weights & Biases account at http://wandb.me/gdsc-zurich and a free Kaggle account. You do not need to install anything on your laptop, as you will be provided Google Colab notebooks.

*This event is jointly organized by the GDSC at ETH Zurich, TU Munich, and the University of Bologna.