TensorLy: Tensor Learning in Python.

Tensor Network Learning with PyTorch

HOTTBOX: Higher Order Tensors ToolBOX.

Tensor Train Toolbox

Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)

TedNet: A Pytorch Toolkit for Tensor Decomposition Networks

Tensor-Train decomposition in pytorch

Tensor decomposition implemented in TensorFlow

A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays

Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle.

Gradient-free optimization method for the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) format.

Python Package for Tensor Completion Algorithms

Experiments from the article "Tensorial Mixture Models"

Tensor Extraction of Latent Features (T-ELF). Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the estimation of latent factors - rank) for accurate data modeling. Our software suite encompasses cutting-edge data pre-processing and post-processing modules.

[ICLR 2022] Code for paper "Exploring Extreme Parameter Compression for Pre-trained Language Models"(https://arxiv.org/abs/2205.10036)

Metamodeling, sensitivity analysis and visualization using the tensor train format

PyTorch implementation of the Marginalizable Density Model Approximator

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

CP-APR Tensor Decomposition with PyTorch backend. pyCP_APR can perform non-negative Poisson Tensor Factorization on GPU, and includes an interface for anomaly detection using the extracted latent patterns.