TensorLy: Tensor Learning in Python.

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

A Julia library for efficient tensor computations and tensor network calculations. ITensors.jl is supported by the Simons Foundation's Flatiron Institute.

A C++ library for efficient tensor network calculations

Tensor Network Learning with PyTorch

HOTTBOX: Higher Order Tensors ToolBOX.

A research library for pytorch-based neural network pruning, compression, and more.

A thoroughly investigated survey for tensorial neural networks.

Tensor Train Toolbox

😎 A curated list of tensor decomposition resources for model compression.

Repository to track the progress in model compression and acceleration

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

MUSCO: MUlti-Stage COmpression of neural networks

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

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

Tensor decomposition implemented in TensorFlow

C++ compressor for multidimensional grid data using the Tucker decomposition