Neptune (company)

Neptune is a company that provides a platform for machine learning (ML) teams to organize, track, and collaborate on their experiments. The platform aims to streamline the ML development lifecycle by offering tools for experiment tracking, model registry, and data versioning. It allows data scientists and ML engineers to log various aspects of their work, including parameters, metrics, code, and datasets.

Neptune's functionality centers around centralizing metadata associated with ML projects. This centralization facilitates reproducibility, comparison of different experiments, and overall better management of ML projects. Key features include:

• Experiment Tracking: Capturing and storing the details of each ML experiment, such as hyperparameters, metrics, and code versions. This allows users to easily compare different runs and identify the best-performing models.

• Model Registry: A repository for storing and managing trained ML models. Users can track model versions, metadata, and performance metrics.

• Data Versioning: Tracking changes to datasets used in ML experiments, enabling users to reproduce results with specific versions of the data.

• Collaboration Tools: Features that enable team members to share and discuss experiments, models, and data.

Neptune caters to both individual data scientists and larger ML teams, providing a cloud-based platform accessible through a web interface and programmatic APIs. The platform aims to integrate with common ML frameworks and libraries, such as TensorFlow, PyTorch, and scikit-learn.