Experiment tracking for training ML models
ML teams need a cost-effective way to track, visualize, and manage machine learning experiment metrics and artifacts during model training.
An open-source, high-performance experiment tracking platform that serves as an alternative to Weights & Biases.
Machine learning engineers, data scientists, and ML teams building and training models.
Building high quality tools for ML engineers




