A Julia library for efficient tensor computations and tensor network calculations

Tensor Train Toolbox

Tensor Network Learning with PyTorch

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

A template-based implementation of the Adaptive Linearized Tensor Order (ALTO) format for storing and processing sparse tensors.

💍 Efficient tensor decomposition-based filter pruning

A memory efficient finite-volume 6D Vlasov-Poisson code based on low-rank tensor approximations

Direct Exoplanet Imaging with Tensor Decompositions

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

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.

LIANA x Tensor-cell2cell Protocols

A C++ library for efficient tensor network calculations

MultiHU-TD: Multifeature Hyperspectral Unmixing Based on Tensor Decomposition

TensorLy: Tensor Learning in Python.

Code for NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion

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

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

Visualization of Tensor Decompositions

Tensor-Train decomposition in pytorch

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.