Projects in Awesome Lists tagged with tensor-decomposition

https://github.com/tensorly/tensorly

TensorLy: Tensor Learning in Python.

cupy decomposition jax machine-learning mxnet numpy python pytorch regression tensor tensor-algebra tensor-decomposition tensor-factorization tensor-learning tensor-methods tensor-regression tensorflow tensorly

Last synced: 17 Dec 2024

https://github.com/andrewssobral/lrslibrary

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

matlab matrix matrix-completion matrix-factorization rpca subspace-learning subspace-tracking tensor tensor-decomposition

Last synced: 16 Dec 2024

https://github.com/ITensor/ITensors.jl

A Julia library for efficient tensor computations and tensor network calculations

dmrg matrix-product-states peps physics tensor-decomposition tensor-networks tensor-train tensors

Last synced: 30 Oct 2024

https://github.com/rballester/tntorch

Tensor Network Learning with PyTorch

cp-decomposition data-science learning pytorch tensor-decomposition tensor-networks tensor-train tensors tucker-decomposition

Last synced: 15 Nov 2024

https://github.com/huawei-noah/bht-arima

Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)

arima-forecasting tensor-decomposition tensor-factorization time-series

Last synced: 13 Nov 2024

https://github.com/juliagusak/model-compression-and-acceleration-progress

Repository to track the progress in model compression and acceleration

acceleration architecture-search compression knowledge-distillation low-rank neural-network pruning sparsification tensor-decomposition

Last synced: 09 Nov 2024

https://github.com/huawei-noah/BHT-ARIMA

Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)

arima-forecasting tensor-decomposition tensor-factorization time-series

Last synced: 02 Nov 2024

https://github.com/musco-ai/musco-pytorch

MUSCO: MUlti-Stage COmpression of neural networks

cp-decomposition deep-neural-networks low-rank model-acceleration model-compression network-acceleration network-compression pytorch tensor-decomposition truncated-svd tucker vbmf

Last synced: 16 Nov 2024

https://github.com/Einsums/Einsums

Provides compile-time contraction pattern analysis to determine optimal tensor operation to perform.

cp-decomposition cpp cpp20 dense-matrices einsum linear-algebra matrix matrix-computations matrix-library scientific-computing tensor tensor-contraction tensor-decomposition tensors tucker-decomposition

Last synced: 20 Nov 2024

https://github.com/andrewssobral/tensor_toolbox

MATLAB Tensor Toolbox (by Tamara Kolda)

matlab matlab-toolbox tensor-decomposition tensor-factorization tensors

Last synced: 07 Nov 2024

https://github.com/huji-deep/generative-convacs

Experiments from the article "Tensorial Mixture Models"

article caffe deep-learning experiments generative-model missing-data neural-network research tensor tensor-decomposition

Last synced: 05 Nov 2024

https://github.com/andrewssobral/ostd

Online Stochastic Tensor Decomposition for Background Subtraction in Multispectral Video Sequences

background-subtraction matlab multispectral-images multispectral-video-sequences tensor tensor-decomposition

Last synced: 14 Oct 2024

https://github.com/andrewssobral/tdalab

A MATLAB Toolbox for High-order Tensor Data Decompositions and Analysis

multidimensional-arrays tensor-decomposition tensor-factorization tensor-toolbox

Last synced: 01 Dec 2024

https://github.com/steverab/tensor-gmm

Implementation of learning a Gaussian mixture model using tensor decomposition.

gaussian-mixture-models machine-learning method-of-moments power-method tensor-decomposition tensors

Last synced: 15 Oct 2024

https://github.com/lanl/pycp_apr

CP-APR Tensor Decomposition with PyTorch backend. pyCP_APR can perform non-negative Poisson Tensor Factorization on GPU, and includes an interface for anomaly detection using the extracted latent patterns.

anomaly-detection candecomp-parafac canonical-polyadic cpd cybersecurity dense dense-tensors gpu latent-features non-negative-tensor-factorization numpy poisson-distribution pytorch sparse sparse-tensors tensor-decomposition tensor-factorization tensors

Last synced: 09 Dec 2024

https://github.com/intellabs/alto

A template-based implementation of the Adaptive Linearized Tensor Order (ALTO) format for storing and processing sparse tensors.

multicore sparse-tensors tensor-decomposition

Last synced: 13 Nov 2024

https://github.com/toshas/tbasis

T-Basis: a Compact Representation for Neural Networks

compression icml pytorch reparameterization reproducibility reproducible-research tensor tensor-decomposition tensor-ring weight-sharing

Last synced: 16 Nov 2024

https://github.com/musco-ai/musco-tf

MUSCO: Multi-Stage COmpression of neural networks

cnn-acceleration cnn-compresion cp-decomposition deep-neural-networks low-rank-approximation musco network-compression tensor-decomposition tensorflow truncated-svd tucker vbmf

Last synced: 14 Oct 2024

https://github.com/lanl/pyqbtns

Python Quantum Boolean Tensor Networks

boolean-matrices boolean-tensor boolean-tucker-factorization d-wave factor-boolean-tensors hierarchical-tucker latent-factors matrix-factorization numpy python quantum-annealing quantum-computing tensor-decomposition tensor-factorization tensor-train tucker-decomposition

Last synced: 09 Dec 2024

https://github.com/andrewssobral/nway

N-way Toolbox for MATLAB (by Rasmus Bro)

matlab matlab-toolbox tensor-decomposition tensor-factorization tensors

Last synced: 14 Oct 2024

https://github.com/lanl/t-elf

Tensor Extraction of Latent Features (T-ELF). Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the estimation of latent factors - rank) for accurate data modeling. Our software suite encompasses cutting-edge data pre-processing and post-processing modules.

blind-source-separation dimensionality-reduction feature-extraction gpu high-performance-computing hpc latent-variables machine-learning matrix matrix-completion matrix-factorization non-negative-matrix-factorization pattern-extraction semi-supervised-learning tensor-decomposition tensor-factorization tensors text-preprocessing unsupervised-learning

Last synced: 09 Dec 2024

https://github.com/maksimekin/rfot

Random Forest of Tensors (RFoT) is a tensor decomposition based ensemble semi-supervised classifier.

canonical-polyadic classification clustering cpd cybersecurity factorization latent-variables machine-learning malware-analysis semi-supervised-learning tensor-decomposition tensors

Last synced: 15 Dec 2024

https://github.com/gtsitsik/multi-graph-explorer

A framework for advanced multi-graph analysis and method development

graph-algorithms matlab matlab-gui multi-graph multi-view-clustering multilayer-networks multiplex-networks spectral-clustering tensor-decomposition visualization

Last synced: 12 Dec 2024

https://github.com/ray-chew/tensor-train-decomposition

A short look at tensor-train decomposition with the Xerus library

cpp tensor-decomposition tensor-train xerus

Last synced: 12 Nov 2024