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Adaptive Sparse Connectivity for Neural Networks in PyTorch

Project description

A PyTorch implementation of Scalable Training of Artificial Neural Networks with Adaptive Sparse Connectivity inspired by Network Science by Mocanu et al. ( Uses sparse data structures. Not super fast yet, but less memory-intensive than the masked dense weight matrices used in the proof-of-concept code released with the paper.

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