Installation
About
An interface to Neptune. A metadata store for MLOps, built for teams that run a lot of experiments. It gives you a single place to log, store, display, organize, compare, and query all your model-building metadata. Neptune is used for: • Experiment tracking: Log, display, organize, and compare ML experiments in a single place. • Model registry: Version, store, manage, and query trained models, and model building metadata. • Monitoring ML runs live: Record and monitor model training, evaluation, or production runs live For more information see
github.com/neptune-ai/neptune-r | |
System requirements | Python (>= 3.0.0), Neptune (https://neptune.ai/) |
Bug report | File report |
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