A Julia library for efficient tensor computations and tensor network calculations
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Updated
Jul 10, 2024 - Julia
A Julia library for efficient tensor computations and tensor network calculations
Tensor Network Learning with PyTorch
Tensor Train decomposition on TensorFlow
Tensor Train Toolbox
Matrix Product Representation library for Python
Compression of NMT transformer model with tensor methods
Tensor network simulations for finite temperature, open quantum system dynamics
A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays
Tensor-Train decomposition in pytorch
LuaTeX extension for graphical tensor notation
Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle.
A fully tensorized recurrent neural network using tensor-train decomposition
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.
Compressed version of Tacotron 2 using Tensor Train + Waveglow.
An implementation of various tensor-based decomposition for NN & RNN parameters
Python Distributed Non Negative Tensor Networks
Collection of basic and advanced Tensor Algebra operations using Matlab and Python.
Solver in the low-rank tensor train format with cross approximation approach for the multidimensional Fokker-Planck equation
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