Tensor Network Learning with PyTorch

Tensor Train decomposition on TensorFlow

Tensor Train Toolbox

Tensor-Train decomposition in pytorch

Matrix Product Representation library for Python

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.

A fully tensorized recurrent neural network using tensor-train decomposition

Metamodeling, sensitivity analysis and visualization using the tensor train format

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

Python Distributed Non Negative Tensor Networks

Solver in the low-rank tensor train format with cross approximation approach for the multidimensional Fokker-Planck equation

A Tensor Network package for Machine Learning and Quantum Computing in Python.

🥭 MANGO: Maximization of neural Activation via Non-Gradient Optimization

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

Python Quantum Boolean Tensor Networks

PRobability Optimizer with TEnsor Sampling (PROTES) is an optimization algorithm based on tensor train decomposition.

Implementation of algorithms in "Orthogonal Decomposition of Tensor Trains" (Halaseh, Muller, Robeva)