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

Python Tensor Toolbox

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

Tensor Network Learning with PyTorch

[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

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

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

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

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

MUSCO: MUlti-Stage COmpression of neural networks

MUSCO: Multi-Stage COmpression of neural networks

Extension for the CP decomposition algorithm.

Tensor decomposition implemented in TensorFlow

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

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

Tensor on Spark.

Randomized Tensor Decompositions