low-rank-approximation | Topic | Ecosyste.ms: Repos

Topic: "low-rank-approximation"

wenwei202/caffe

Caffe for Sparse and Low-rank Deep Neural Networks

Language: C++ - Size: 69.6 MB - Last synced at: 9 months ago - Pushed at: about 5 years ago - Stars: 375 - Forks: 134

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic Indexing, Principal Component Analysis, Singular Value Decomposition, K Nearest Neighbors, K Means, Naïve Bayes Mixture Model, Gaussian Discriminant Analysis, Newton Method, Coordinate Descent, Gradient Descent, Elastic Net Regression, Ridge Regression, Lasso Regression, Least Squares, Logistic Regression, Linear Regression

Language: Jupyter Notebook - Size: 7.84 MB - Last synced at: 18 days ago - Pushed at: over 2 years ago - Stars: 234 - Forks: 51

lixilinx/psgd_torch

Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation preconditioner and more)

Language: Python - Size: 1.87 MB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 173 - Forks: 11

csjunxu/MCWNNM-ICCV2017

Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising, ICCV 2017.

Language: MATLAB - Size: 13.5 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 105 - Forks: 37

rockerBOO/lora-inspector

LoRA (Low-Rank Adaptation) inspector for Stable Diffusion

Language: Python - Size: 311 KB - Last synced at: 18 days ago - Pushed at: 7 months ago - Stars: 96 - Forks: 7

brian6091/Dreambooth

Fine-tuning of diffusion models

Language: Python - Size: 1.1 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 89 - Forks: 18

vortex-exoplanet/VIP

VIP is a python package/library for angular, reference star and spectral differential imaging for exoplanet/disk detection through high-contrast imaging.

Language: Python - Size: 411 MB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 70 - Forks: 60

ofsoundof/group_sparsity

Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.

Language: Python - Size: 2.79 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 53 - Forks: 13

AndreiChertkov/teneva

A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays

Language: Python - Size: 4.6 MB - Last synced at: 13 days ago - Pushed at: 10 months ago - Stars: 52 - Forks: 2

pashtari/factorizer

Pytorch implementation of Factorizer.

Language: Jupyter Notebook - Size: 3.47 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 34 - Forks: 2

lixilinx/psgd_tf

Tensorflow implementation of preconditioned stochastic gradient descent

Language: Python - Size: 7.4 MB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 34 - Forks: 14

ecrc/hicma

HiCMA: Hierarchical Computations on Manycore Architectures

Language: Jupyter Notebook - Size: 124 MB - Last synced at: 6 months ago - Pushed at: about 2 years ago - Stars: 28 - Forks: 12

DavisLaboratory/msImpute

Methods for label-free mass spectrometry proteomics

Language: R - Size: 5.34 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 14 - Forks: 0

ofsoundof/learning_filter_basis

Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression" ICCV2019

Language: Python - Size: 766 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 14 - Forks: 3

pashtari/lrf

PyTorch implementation of low-rank factorization (LRF) methods for data compression

Language: Jupyter Notebook - Size: 817 MB - Last synced at: about 1 hour ago - Pushed at: about 1 hour ago - Stars: 13 - Forks: 4

AndreiChertkov/fpcross

Solver in the low-rank tensor train format with cross approximation approach for the multidimensional Fokker-Planck equation

Language: Python - Size: 48.2 MB - Last synced at: 16 days ago - Pushed at: over 1 year ago - Stars: 12 - Forks: 1

degleris1/CMF.jl

Convolutive Matrix Factorization in Julia

Language: Jupyter Notebook - Size: 8.78 MB - Last synced at: 11 months ago - Pushed at: about 4 years ago - Stars: 11 - Forks: 2

musco-ai/musco-tf

MUSCO: Multi-Stage COmpression of neural networks

Language: Python - Size: 85.9 KB - Last synced at: 14 days ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 2

kingofspace0wzz/multilayer_nmf

My experiment of multilayer NMF, a deep neural network in which the first several layers take Semi-NMF as its pseudo-activation-function that finds the latent sturcture embedding in the original data unsupervisely.

Language: Python - Size: 4.55 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 8 - Forks: 3

hi-paris/Lowrankdensity

Lowrankdensity

Language: Python - Size: 716 KB - Last synced at: 15 days ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 3

UniPD-DII-ETCOMP/DenseMatrixMarket

Dense Matrix Market

Language: MATLAB - Size: 7.24 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 2

loyalliu/MS-HTC

Multi-slice MR Reconstruction with Low-Rank Tensor Completion

Language: MATLAB - Size: 25 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 7 - Forks: 2

ecrc/stars-h

Software for Testing Accuracy, Reliability and Scalability of Hierarchical computations.

Language: C - Size: 30.5 MB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 9

loyalliu/MS-HTC2

Calibrationless Multi-Slice Cartesian MRI via Orthogonally Alternating Phase Encoding Direction and Joint Low-Rank Tensor Completion

Language: MATLAB - Size: 6.44 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 0

bangtianliu/MatRox_RU

Language: C++ - Size: 40.5 MB - Last synced at: 11 months ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 1

mpimd-csc/Structure-preserving_STTM

This repository contains MATLAB files for the implementation of work proposed in the paper Efficient Structure-preserving Support Tensor Train Machine.

Language: HTML - Size: 114 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0

kaylode/rec-sys

Introducing traditional algorithms in Recommendation System.

Language: Jupyter Notebook - Size: 4.87 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 0

gdikov/stochastic-segmentation-networks

Tutorial reimplementation of Monteiro et al. (2020) on a toy problem.

Language: Jupyter Notebook - Size: 395 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 0

april-tools/colorai

Website for the AAAI'25 Workshop on "Connectin Low-Rank Representations in AI"

Language: SCSS - Size: 1.01 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

gha3mi/forsvd

ForSVD - A Fortran library for singular value decompostion (SVD) calculation, low-rank approximation, and image compression.

Language: Fortran - Size: 1.58 MB - Last synced at: 28 days ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 2

IST-DASLab/EFCP

The repository contains code to reproduce the experiments from our paper Error Feedback Can Accurately Compress Preconditioners available below:

Language: Python - Size: 3.39 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

FMatti/ACA-SPSD

Adaptive cross approximation (ACA) algorithms for symmetric positive semi-definite (SPSD) matrices.

Language: Jupyter Notebook - Size: 301 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

anishacharya/Online-Embedding-Compression-AAAI-2019

Deep learning models have become state of the art for natural language processing (NLP) tasks, however deploying these models in production system poses significant memory constraints. Existing compression methods are either lossy or introduce significant latency. We propose a compression method that leverages low rank matrix factorization during training, to compress the word embedding layer which represents the size bottleneck for most NLP models. Our models are trained, compressed and then further re-trained on the downstream task to recover accuracy while maintaining the reduced size. Empirically, we show that the proposed method can achieve 90% compression with minimal impact in accuracy for sentence classification tasks, and outperforms alternative methods like fixed-point quantization or offline word embedding compression. We also analyze the inference time and storage space for our method through FLOP calculations, showing that we can compress DNN models by a configurable ratio and regain accuracy loss without introducing additional latency compared to fixed point quantization. Finally, we introduce a novel learning rate schedule, the Cyclically Annealed Learning Rate (CALR), which we empirically demonstrate to outperform other popular adaptive learning rate algorithms on a sentence classification benchmark.

Language: Python - Size: 36 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 2

mzalaya/collectivemc

Implementation of Collective Matrix Completion by Mokhtar Z. Alaya and Olga Klopp https://arxiv.org/abs/1807.09010

Language: Jupyter Notebook - Size: 1.81 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

mdipcit/CTdecomp_BNN

Cartoon-texture image decomposition using blockwise low-rank texture characterization

Language: Matlab - Size: 183 KB - Last synced at: 10 months ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 1

JeanSanchezFelix/EdgeML-Projects

This repository contains example notebooks and homeworks demonstrating various techniques in model optimization for Edge ML.

Language: Jupyter Notebook - Size: 26.4 KB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 1 - Forks: 0

anto18671/lumenspark

Lumenspark is a lightweight Linformer-based Language Model Trained from Scratch

Language: Python - Size: 108 KB - Last synced at: 6 days ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

quanyumath/SPG

A smoothing proximal gradient algorithm for matrix rank minimization problem

Language: MATLAB - Size: 9.89 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

AndreiChertkov/optima_tt

Numerical experiments for Optima-TT method from teneva python package. This method finds items which relate to min and max elements of the tensor in the tensor train (TT) format.

Language: Python - Size: 0 Bytes - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

quanyumath/LPRN

Low-rank tensor recovery via non-convex regularization, structured factorization and spatio-temporal characteristics

Language: MATLAB - Size: 15.7 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

tomaszsadowski/Data-Completion-Toolbox-matlab

Toolbox allows to test and compare methods for Image Completion and Data Completion problems in Matlab. Presented methods use various Nonnegative Matrix Factorization and Tensor decomposition algorithms. It was based on research performed during realization of PhD.

Language: MATLAB - Size: 812 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0