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.
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 Munich Lead
GDSC Munich Lead
GDSC Munich Core Team
GDSC Munich Core Team
GDSC Munich Advisor
GDSC Munich Advisor
GDSC Munich Core Team
GDSC Munich Core Team
Technical University of Munich
GDSC Munich Core Member
GDSC Munich Core Member
TUM
GDSC Munich Core Team
GDSC Munich Core Team
