π The experiment tracker for foundation model training
Open solution to the TGS Salt Identification Challenge
π Examples of how to use Neptune for different use cases and with various MLOps tools
π Jupyter Notebooks extension for versioning, managing and sharing notebook checkpoints in your machine learning and data science projects.
Neptune - MLflow integration π§© Experiment tracking with advanced UI, collaborative features, and user access management.
π The MLOps stack component for experiment tracking (R interface)
Neptune - TensorBoard integration π§© Experiment tracking with advanced UI, collaborative features, and user access management.
Neptune Fetcher is designed to separate data retrieval capabilities from the regular neptune package. This separation makes data fetching more efficient and improves performance.
π‘ Experiment tracking for TensorFlow/Keras. Log, organize, and compare model metrics, learning curves, hyperparameters, dataset versions, and more.
Experiment tracking for fastai. π§© Log, organize, visualize and compare model metrics, hyperparameters, dataset versions, and more.