Weights & Biases

Weights & Biases is a developer-first machine learning operations (MLOps) platform where users can track everything they need to make models reproducible with Weights & Biases— from hyperparameters and code to model weights and dataset versions. Weights & Biases helps ML teams unlock their productivity by optimizing, visualizing, collaborating on and standardizing their model and data pipelines – regardless of framework, environment, or workflow. Used by ML engineers at OpenAI, Lyft, Pfizer, Qualcomm, NVIDIA, Toyota, GitHub, and MILA, it is part of the new standard of best practices for machine learning. W&B is free for personal use and academic projects.