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low-rank-factorization

Here are 20 public repositories matching this topic...

aimerykong / Low-Rank-Bilinear-Pooling

CVPR2017 - an ultra-compact bilinear model for fine-grained classification

visualization demo caffe toolbox low-rank-factorization fine-grained

Updated Oct 31, 2017
C++

vantienpham / Awesome-Tensor-Decomposition

😎 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 Sep 15, 2025

tongnie / ImputeFormer

[KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"

transformers missing-data low-rank-factorization data-imputation time-series-imputation spatiotemporal-data

Updated May 8, 2025
Python

hiroyuki-kasai / OLSTEC

OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1

machine-learning machine-learning-algorithms matrix-factorization tensor online-learning background-subtraction matrix-completion tensor-decomposition subspace-learning low-rank-factorization gradient-descent-algorithm stochastic-gradient-descent cp-decomposition large tensor-cp-decomposition grasta grouse petrels sequential-data-analysis

Updated Jan 13, 2023
MATLAB

ecrc / hicma

HiCMA: Hierarchical Computations on Manycore Architectures

linear-algebra high-performance-computing task-scheduler runtime-system low-rank-factorization low-rank-approximation

Updated Mar 19, 2023
Jupyter Notebook

Zishan-Shao / FlashSVD

Welcome to the FlashSVD, an activation aware inference system for SVD-based low-rank model inference. If you find this repository helpful, please consider starring 🌟 it to support the project — it means a lot for us! Our paper is available here:

drone llama svd low-rank-factorization bert-model gpt2 llm-inference asvd svd-llm

Updated Oct 13, 2025
Python

aparek / ISLRMatrix

Denoise Sparse Low-Rank matrices using convex non-convex priors

sparse-matrix convex-optimization low-rank-factorization denoising

Updated May 4, 2017
MATLAB

aparek / EnhancedLowRankMatrixApproximation

Low-rank matrix estimation using convex non-convex prior

convex-optimization low-rank-factorization denoising-images denoising convex-denoising

Updated May 3, 2017
MATLAB

Emmanuel-R8 / HarvardX-Movielens

Harvard X Data Science - Capstone project on Movielens

data-science machine-learning data-mining r julia data-visualization rmarkdown collaborative-filtering movielens harvardx low-rank-factorization stochastic-gradient-descent

Updated Nov 12, 2019
HTML

qiuweili / altmin

Second-Order Convergence of Alternating Minimizations

matrix-factorization global-optimization proximal-algorithms matrix-completion low-rank-factorization second-order-optimization nonconvex low-rank-matrix-recovery alternating-optimization alternating-minimization

Updated Sep 6, 2022

bezhvin / Sequential-LRF

Employing sequentiial Low Rank Factorization to DNNs

kaldi svd low-rank-factorization multilingual-dnn

Updated Mar 23, 2020
Shell

reagan0323 / iRRR

Integrative Reduced Rank Regression with Multi-View Predictors

regression multivariate low-rank-factorization multi-view-learning

Updated Jun 27, 2018
MATLAB

SouravAggarwal / Movies_Recommendation

Recommendation System: It helps a user to discover new Movies/Products by predicting Rating on each item for a particular user from Past Experience of that User

machine-learning python3 recommender-system low-rank-factorization movies-recommendation

Updated Aug 30, 2017
Python

C-Ritam98 / Rating_Prediction

Movie Rating Prediction based on NETFLIX dataset using Low Rank Matrix factorization technique.

low-rank-factorization rating-prediction

Updated Aug 26, 2021
Python

jschwiddessen / AugmentedMixing.jl

Julia implementation of the Augmented Mixing Method for semidefinite programs (SDPs)

optimization julia sdp optimization-methods semidefinite-programming optimization-algorithms low-rank-factorization mathematical-programming semidefinite-optimization

Updated Aug 27, 2025
Julia

abenicho / isvr

" Spatially constrained clustering, using a sparse + low rank tv regularised factorization" Benichoux, A. and Blumensath, T. (2014)

fmri clustering-algorithm low-rank-factorization

Updated Mar 28, 2018
Python

arunabh98 / matrix-completion

An ADMM + Compressed Sensing algorithm to estimate a low-rank sparse matrix

compressed-sensing image-processing admm matrix-completion low-rank-factorization

Updated Nov 27, 2018
MATLAB

zslwyuan / Odecomp

Odecomp: Online Tensor Decomposition for the Model Compression of Neural Network

tensorflow gradient-descent tensor-decomposition low-rank-factorization online-decomposition

Updated Dec 12, 2018
Python

FranciscoRMendes / tensor-rank

Low Rank Approximation (Adaptation) Methods in Neural Networks

lora low-rank-factorization low-rank-approximation svd-matrix-factorisation low-rank-adaptation

Updated Apr 24, 2024
Jupyter Notebook

slimgroup / RCAM.jl

optimization-algorithms low-rank-factorization seismic-inversion seismic-data low-rank low-rank-matrix-recovery

Updated Mar 17, 2021
Julia

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