tnbar/tednet
TedNet: A Pytorch Toolkit for Tensor Decomposition Networks
This toolkit helps machine learning researchers explore and build neural networks that are optimized using tensor decomposition techniques. It allows you to construct network layers using methods like CANDECOMP/PARAFAC, Tucker2, and Tensor Train, which are then used as part of a PyTorch neural network model. This is for researchers and developers working on advanced machine learning architectures.
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Use this if you are a machine learning researcher or developer looking to experiment with tensor decomposition networks to optimize or explore new neural network architectures.
Not ideal if you are a practitioner looking for an out-of-the-box solution to apply existing machine learning models without deep architectural research.
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Language
Python
License
MIT
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Last pushed
Apr 06, 2022
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