Library

Build Better Models Faster with Weights & Biases

As the global machine learning community grows and teams become more distributed, collaboration becomes more challenging. Our speaker, Thomas Capelle, ML engineer at Weights & Biases (W&B) will show you how to track your experiments and to centralize all of the information related to a given ML project while making it easy to share and communicate findings with other colleagues. Let’s make our hard work organized and reproducible!