TensorLy: Tensor Learning in Python.
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Updated
Jul 27, 2024 - Python
TensorLy: Tensor Learning in Python.
Tensor Network Learning with PyTorch
HOTTBOX: Higher Order Tensors ToolBOX.
Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)
Tensor Train Toolbox
TedNet: A Pytorch Toolkit for Tensor Decomposition Networks
Tensor decomposition implemented in TensorFlow
A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays
Tensor-Train decomposition in pytorch
Python Package for Tensor Completion Algorithms
Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle.
Experiments from the article "Tensorial Mixture Models"
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.
[ICLR 2022] Code for paper "Exploring Extreme Parameter Compression for Pre-trained Language Models"(https://arxiv.org/abs/2205.10036)
An implementation of various tensor-based decomposition for NN & RNN parameters
Code for NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion
PyTorch implementation of the Marginalizable Density Model Approximator
Solver in the low-rank tensor train format with cross approximation approach for the multidimensional Fokker-Planck equation
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