A Julia library for efficient tensor computations and tensor network calculations
-
Updated
Dec 17, 2024 - Julia
#
tensor-train
Here are 42 public repositories matching this topic...
Tensor Network Learning with PyTorch
learning data-science pytorch tensors tensor-decomposition cp-decomposition tensor-networks tensor-train tucker-decomposition
-
Updated
May 23, 2024 - Python
Tensor Train decomposition on TensorFlow
-
Updated
Apr 6, 2021 - Python
Tensor Train Toolbox
data-driven dynamical-systems als tensor dmrg tensor-decomposition scikit mandy tensor-train dynamic-mode-decomposition quantum-simulation tensor-network mals slim-decomposition extended-dynamic-mode-decomposition
-
Updated
Dec 19, 2024 - Python
-
Updated
Mar 2, 2018 - Python
Tensor network simulations for finite temperature, open quantum system dynamics
julia matrix-product-states quantum-physics tensor-networks tdvp numerical-physics tensor-train many-body-physics tedopa open-quantum-systems non-equilibrium-dynamics tree-tensor-networks time-dependent-variational-principle
-
Updated
Dec 18, 2024 - Julia
Matrix Product Representation library for Python
-
Updated
Jun 28, 2022 - Python
Tensor-Train decomposition in pytorch
-
Updated
Dec 14, 2024 - Python
Compression of NMT transformer model with tensor methods
-
Updated
Jun 7, 2019 - Jupyter Notebook
A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays
tensor-decomposition approximation-algorithms low-rank-approximation tensor-train surrogate-modelling surrogate-models tensor-decomposition-algorithms tensor-trains
-
Updated
Jul 5, 2024 - Python
LuaTeX extension for graphical tensor notation
-
Updated
Nov 4, 2022 - Lua
Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle.
optimization optimization-methods multidimensional-arrays tensor-decomposition discrete-optimization tensor-train gradient-free-optimization optimization-algorithm tensor-decomposition-algorithms tensor-trains
-
Updated
Jul 27, 2023 - Python
Gradient-free optimization method for the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) format.
optimization multidimensional-arrays tensor-decomposition discrete-optimization tensor-train gradient-free-optimization
-
Updated
Dec 12, 2024 - Python
😎 A curated list of tensor decomposition resources for model compression.
svd tensor-decomposition low-rank-factorization singular-value-decomposition model-compression tensor-train tucker-decomposition tensor-ring-decomposition canonical-polyadic-decomposition
-
Updated
Dec 22, 2024
A fully tensorized recurrent neural network using tensor-train decomposition
-
Updated
Dec 13, 2022 - Python
Metamodeling, sensitivity analysis and visualization using the tensor train format
visualization sensitivity-analysis anova tensor-decomposition tensor-train sobol-method tensor-approximation
-
Updated
Sep 8, 2022 - Python
Compressed version of Tacotron 2 using Tensor Train + Waveglow.
-
Updated
Dec 26, 2019 - Jupyter Notebook
An implementation of various tensor-based decomposition for NN & RNN parameters
-
Updated
Jun 3, 2018 - Python
Python Distributed Non Negative Tensor Networks
compression tensor-networks tensor-train non-negative-factorization hierarchical-tensor-decompositions hierarchical-tucker pydnmfk distributed-tensor-factorization
-
Updated
Oct 20, 2021 - Python
[IEEE TKDE 2023] A list of up-to-date papers on streaming tensor decomposition, tensor tracking, dynamic tensor analysis
adaptive-learning tensor-factorization missing-data online-learning tensor-decomposition cp-decomposition tensor-networks tensor-train parafac hosvd tensor-analysis tucker-decomposition baysian-inference streaming-data-processing outliers-detection tensor-ring-decomposition tsvd block-term-decomposition
-
Updated
Aug 21, 2024
Improve this page
Add a description, image, and links to the tensor-train topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the tensor-train topic, visit your repo's landing page and select "manage topics."