Tensor Network Learning with PyTorch
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Updated
May 23, 2024 - Python
Tensor Network Learning with PyTorch
MUSCO: MUlti-Stage COmpression of neural networks
Tensor decomposition implemented in TensorFlow
Python Tensor Toolbox
OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1
An implementation of various tensor-based decomposition for NN & RNN parameters
Provides compile-time contraction pattern analysis to determine optimal tensor operation to perform.
An implementation of various tensor-based decomposition for NN & RNN parameters
[IEEE ICASSP 2021] "A fast randomized adaptive CP decomposition for streaming tensors". In 46th IEEE International Conference on Acoustics, Speech, & Signal Processing, 2021.
[IEEE TKDE 2023] A list of up-to-date papers on streaming tensor decomposition, tensor tracking, dynamic tensor analysis
MUSCO: Multi-Stage COmpression of neural networks
[Patterns 2023] Tracking Online Low-Rank Approximations of Higher-Order Incomplete Streaming Tensors. In Patterns (Cell Press) 2023.
"Tensor Decomposition to Capture Spatiotemporal Patterns of Coupled Oscillator and Opinion Dynamics" by Agam Goyal and Hanbaek Lyu
Tensor on Spark.
Implementation of TuckERT [Shao,Yang,Zhang et al.] [arXiv:2011.07751] [2020]
Extension for the CP decomposition algorithm.
Code for our preprint paper titled "Sampling-Based Decomposition Algorithms for Arbitrary Tensor Networks"
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