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dgl
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Python package built to ease deep learning on graph, on top of existing DL frameworks.

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A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

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A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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A technical report on convolution arithmetic in the context of deep learning

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PyTorch Tutorial for Deep Learning Researchers

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this repository accompanies the book "Grokking Deep Learning"

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Geometric Deep Learning Extension Library for PyTorch

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links to conference publications in graph-based deep learning

Deep Learning: libraries and applications

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