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Short tutorial about plotting with Pandas in Python
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Interactive exploration and analysis of large amounts of data from scientific simulations, in-situ visualization and application control are convincing scenarios for explorative sciences. Based on the open source software JupyterLab, a way has been a
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esde / machine-learning / AMBS
MIT LicenseAMBS stands for Atmospheric Machine learning Benchmarking System
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PRACE Workshop - Interactive High-Performance Computing with Jupyter
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jupyterjsc / k8s / images / user-jupyterlab
BSD 3-Clause "New" or "Revised" LicenseUpdated -
Accelerating hyperparameter tuning for Remote Sensing by switching the batch size during training
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Mapping of ozone data with machine learning methods.
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