
Experiment tracking & model registry for ML
• Neptune.ai is a metadata store and experiment tracking platform that helps ML engineers and data scientists track model runs, visualize metrics, store artifacts, and organize experiment metadata.• Provides integration with popular ML frameworks (TensorFlow, PyTorch, Keras, Scikit-Learn), logging metrics and parameters, versioning models, and collaborative dashboards.• Enables teams to compare runs, tag experiments, and store datasets and outputs for reproducibility and model governance.
• Track and organize ML experiments• Manage model metadata and artifacts• Collaborate on ML workflows
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