A framework for the creation and training of vanilla and convolutional neural nets only depending on a C compiler and standard library
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Dec 18, 2023 - C
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vanilla-neural-network
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Fully connected neural network with Adam optimizer, L2 regularization, Batch normalization, and Dropout using only numpy
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Sep 19, 2019 - Python
"This repository contains the implementation code for the book, which serves as a practical guide to understanding and applying Graph Neural Networks (GNNs) using Python."
python jupyter-notebook graph-theory recommender-system graph-generation link-prediction graph-convolutional-networks anomaly-detection node-representation graph-attention-networks hands-on-machine-learning graph-neural-network heterogeneous-graph vanilla-neural-network deep-walk traffic-forecasting gnn-model
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Sep 15, 2024 - Jupyter Notebook
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