Tensor Network Learning with PyTorch

MUSCO: MUlti-Stage COmpression of neural networks

Tensor decomposition implemented in TensorFlow

Provides compile-time contraction pattern analysis to determine optimal tensor operation to perform.

OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1

Randomized Tensor Decompositions

An implementation of various tensor-based decomposition for NN & RNN parameters

Python Tensor Toolbox

An implementation of various tensor-based decomposition for NN & RNN parameters

MUSCO: Multi-Stage COmpression of neural networks

Tensor on Spark.

[IEEE ICASSP 2021] "A fast randomized adaptive CP decomposition for streaming tensors". In 46th IEEE International Conference on Acoustics, Speech, & Signal Processing, 2021.

Implementation of TuckERT [Shao,Yang,Zhang et al.] [arXiv:2011.07751] [2020]

[IEEE TKDE 2023] A list of up-to-date papers on streaming tensor decomposition, tensor tracking, dynamic tensor analysis

[Patterns 2023] Tracking Online Low-Rank Approximations of Higher-Order Incomplete Streaming Tensors. In Patterns (Cell Press) 2023.

Code for our preprint paper titled "Sampling-Based Decomposition Algorithms for Arbitrary Tensor Networks"

Extension for the CP decomposition algorithm.

"Tensor Decomposition to Capture Spatiotemporal Patterns of Coupled Oscillator and Opinion Dynamics" by Agam Goyal and Hanbaek Lyu