Tensor Network Learning with PyTorch
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Updated
May 23, 2024 - Python
Tensor Network Learning with PyTorch
Tensor Train decomposition on TensorFlow
Tensor Train Toolbox
Matrix Product Representation library for Python
A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays
Tensor-Train decomposition in pytorch
Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle.
Metamodeling, sensitivity analysis and visualization using the tensor train format
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
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.
Python Quantum Boolean Tensor Networks
Implementation of TuckERT [Shao,Yang,Zhang et al.] [arXiv:2011.07751] [2020]
Implementation of algorithms in "Orthogonal Decomposition of Tensor Trains" (Halaseh, Muller, Robeva)
🥭 MANGO: Maximization of neural Activation via Non-Gradient Optimization
PRobability Optimizer with TEnsor Sampling (PROTES) is an optimization algorithm based on tensor train decomposition.
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