CVPR2017 - an ultra-compact bilinear model for fine-grained classification
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Oct 31, 2017 - C++
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low-rank-factorization
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😎 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
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Nov 12, 2025
[KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"
transformers missing-data low-rank-factorization data-imputation time-series-imputation spatiotemporal-data
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May 8, 2025 - Python
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
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Jan 13, 2023 - MATLAB
HiCMA: Hierarchical Computations on Manycore Architectures
linear-algebra high-performance-computing task-scheduler runtime-system low-rank-factorization low-rank-approximation
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Mar 19, 2023 - Jupyter Notebook
Denoise Sparse Low-Rank matrices using convex non-convex priors
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May 4, 2017 - MATLAB
Low-rank matrix estimation using convex non-convex prior
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May 3, 2017 - MATLAB
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
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Nov 12, 2019 - HTML
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
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Sep 6, 2022
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:
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Nov 11, 2025 - Python
Employing sequentiial Low Rank Factorization to DNNs
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Mar 23, 2020 - Shell
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
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Aug 30, 2017 - Python
Integrative Reduced Rank Regression with Multi-View Predictors
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Jun 27, 2018 - MATLAB
Movie Rating Prediction based on NETFLIX dataset using Low Rank Matrix factorization technique.
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Aug 26, 2021 - Python
An ADMM + Compressed Sensing algorithm to estimate a low-rank sparse matrix
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Nov 27, 2018 - MATLAB
" Spatially constrained clustering, using a sparse + low rank tv regularised factorization" Benichoux, A. and Blumensath, T. (2014)
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Mar 28, 2018 - Python
Odecomp: Online Tensor Decomposition for the Model Compression of Neural Network
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Dec 12, 2018 - Python
Low Rank Approximation (Adaptation) Methods in Neural Networks
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Apr 24, 2024 - Jupyter Notebook
optimization-algorithms low-rank-factorization seismic-inversion seismic-data low-rank low-rank-matrix-recovery
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Mar 17, 2021 - Julia
Parallel C implementation of a mixing-method variant solving the basic SDP relaxation of semi-supervised support vector machine (S3VM) models, plus variable-bound tightening.
machine-learning parallel-computing semi-supervised-learning semidefinite-programming large-scale low-rank-factorization
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Oct 27, 2025 - Fortran
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