low-rank-approximation

Caffe for Sparse and Low-rank Deep Neural Networks

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

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

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

Python machine learning applications in image processing and algorithm implementations including Matrix Completion, 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

HiCMA: Hierarchical Computations on Manycore Architectures

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

Convolutive Matrix Factorization in Julia

MUSCO: Multi-Stage COmpression of neural networks

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.

Methods for label-free mass spectrometry proteomics

Approximate Ridge Linear Mixed Models (arLMM)

Deformable Groupwise Image Registration using Low-Rank and Sparse Decomposition

Dense Matrix Market

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

Introducing traditional algorithms in Recommendation System.

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

[MICCAI workshop on OMIA 2020] Bio-Inspired Attentive Segmentation of Retinal OCT imaging

Nystrom Low Rank Gram Matrix Approximation in KELP

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

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

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

Linear Algebra project `Decomposition into Low-Rank and Sparse Matrices in Computer Vision` | Applied Sciences Faculty, UCU (2019)

Multi-slice MR Reconstruction with Low-Rank Tensor Completion

GMM with low rank approximation

Department of Statistical Sciences and Operations Research

Wrapper on top of Tensorflow for Quick Experiments Some of my Old Experiments. Also contains the code for: Online Embedding Compression for Text Classification Using Low Rank Matrix Factorization

Coursework containing but not limited to the course Intro to Data Science

Assignments of Data Science Class