Showing 3 open source projects for "computer based training"

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  • 1
    ML workspace

    ML workspace

    All-in-one web-based IDE specialized for machine learning

    All-in-one web-based development environment for machine learning. The ML workspace is an all-in-one web-based IDE specialized for machine learning and data science. It is simple to deploy and gets you started within minutes to productively built ML solutions on your own machines. This workspace is the ultimate tool for developers preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch, Keras, Sklearn) and dev tools (e.g., Jupyter, VS Code, Tensorboard)...
    Downloads: 0 This Week
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  • 2
    TensorWatch

    TensorWatch

    Debugging, monitoring and visualization for Python Machine Learning

    TensorWatch is an open source debugging and visualization platform created by Microsoft Research to support machine learning, deep learning, and reinforcement learning workflows. It enables developers to observe training behavior in real time through interactive visualizations, primarily within Jupyter Notebook environments. The tool treats most data interactions as streams, allowing flexible routing, storage, and visualization of metrics generated during model training. A distinctive...
    Downloads: 0 This Week
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  • 3
    Spark Notebook

    Spark Notebook

    Interactive and Reactive Data Science using Scala and Spark

    ...The UI is notebook-style with support for incremental execution, error inspection, and stateful session continuity, making it easy to iterate on data transformations and model training tasks.
    Downloads: 0 This Week
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