Neptune is a Machine Learning Lab provided as a service for data scientists to speed-up the development and productization of machine learning models. Using Neptune you can: Prototype interactively using Jupyter notebooks in the cloud; Run numerous experiments at the same time using state-of-the-art ML/DL libraries; Send your computations to the public cloud of your choice; Track your experiments using charts in addition to the logs in the terminal; Optimize hyperparameters automatically; Compare your results across your entire team using custom metrics; Reproduce results of every experiment.
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References in zbMATH (referenced in 1 article )
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- Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Rolf Ingold, Marcus Liwicki: DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments (2018) arXiv