Tensor Network Learning with PyTorch

MUSCO: MUlti-Stage COmpression of neural networks

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

Tensor decomposition implemented in TensorFlow

Python Tensor Toolbox

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

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

Randomized Tensor Decompositions

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.

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

MUSCO: Multi-Stage COmpression of neural networks

Tensor on Spark.

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

[ICML2025] Canonical Rank Adaptation: An Efficient Fine-Tuning Strategy for Vision Transformers

Flip-graph search (in 𝔽₂ or 𝔽₃) for low-rank CP decompositions, with a focus on structured matrix multiplication.

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

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

Extension for the CP decomposition algorithm.

Traffic forecasting using tensor decomposition and machine learning. Implements CP/Tucker decomposition with LSTM and XGBoost on METR-LA dataset achieving 35% improvement over baselines.

End-to-End Python implementation of Mo et al.'s (2025) ACT-Tensor methodology; a tensor completion framework for financial dataset imputation. Implements cluster-based CP decomposition, HOSVD factor extraction, temporal smoothing (CMA/EMA/Kalman), and downstream asset pricing evaluation. Transforms sparse data into dense machine readable data.

No description provided.