Weights & Biases

Weights & Biases is a model-tracking platform designed to make machine learning easier. With Weights & Biases, data scientists can keep track of their experiments and results as well as share their work with other data scientists. Weights & Biases (W&B) was founded in 2017 by two data scientists, Lukas Biewald and Chris Van Pelt. They saw the need for a platform that simplifies the process of building, tracking and sharing machine learning models. W&B's platform is designed to make machine learning more accessible, efficient, and transparent. It helps data scientists track and compare experiments, evaluate and compare models, and visualize the performance of their models over time. W&B also provides access to its proprietary hyperparameter optimization system, allowing data scientists to quickly identify the best model configurations. W&B's platform is used by leading companies such as Airbnb, Lyft, VMWare, and Microsoft. It is also used by many leading universities and research groups. W&B is a great tool for data scientists and machine learning engineers who want to easily track their experiments and results and share their work with other data scientists. It helps them make machine learning easier and more efficient, allowing them to quickly find the best model configurations for their machine learning projects.