Type: MLOps platform
DagsHub is an MLOps collaboration platform, often described as ‘GitHub for machine learning,’ combining versioned data, models, and experiments via Git, DVC, and MLflow. Founded in 2019, it supports dataset curation, annotation, and experiment tracking, and integrates with arXiv as a paper-to-resource tool. GROUNDING tracks DagsHub’s role in ML workflows and reproducible research.
Recent Updates
Category: LLMOps, Observability & Evals