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A visualizer for neural network, deep learning, and machine learning models across multiple frameworks.
A library that enables PyTorch, Chainer, MXNet, and NumPy users to write TensorBoard events with simple function calls.
An open-source Python package for training interpretable glassbox models and explaining blackbox machine learning systems.
An interactive visual interface for exploring and debugging black-box machine learning models without writing code.
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