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Documentation
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@ -32,7 +32,8 @@ your experimentation logs, outputs, and data to one centralized server.
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* Explicit parameters dictionary
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* Explicit parameters dictionary
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* Tensorflow Defines (absl-py)
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* Tensorflow Defines (absl-py)
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* Initial model weights file
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* Initial model weights file
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* Model snapshots
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* Model snapshots (With optional automatic upload to central storage: Shared folder, S3, GS, Azure, Http)
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* Artifacts log & store (Shared folder, S3, GS, Azure, Http)
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* Tensorboard/TensorboardX scalars, metrics, histograms, images (with audio coming soon)
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* Tensorboard/TensorboardX scalars, metrics, histograms, images (with audio coming soon)
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* Matplotlib & Seaborn
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* Matplotlib & Seaborn
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* Supported frameworks: Tensorflow, PyTorch, Keras, XGBoost and Scikit-Learn (MxNet is coming soon)
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* Supported frameworks: Tensorflow, PyTorch, Keras, XGBoost and Scikit-Learn (MxNet is coming soon)
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