Python wrapper for the sparse QR decomposition in SuiteSparseQR.

Python Implementation of Weakly Supervised Clustering article

Easy and attractive visualizations of sparse matrices and graphs

Images are compressed based on Singular Value Decomposition in both MATLAB and Python programming languages

Computational Programming with Python. Final project: data storage optimization using sparse matrices. Also algorithms for linear algebra operations on sparse matrices and conversions.

Solves a matrix using sparse techniques

A study of the implementation of the Cholesky method for the resolution of linear systems for sparse, symmetric and positive definite matrices. Comparison based on different open source programming environments and MATLAB implementation. Project for the Methods of Scientific Calculation course @unimib18/19.

This repository is a Pytorch porting of the Escoin-caffe Sparse Convolution implementation.

Encoding and decoding algorithm for surveillance videos using SVD/PCA

python implementation of Sparse Bundle adjustment based on RNE (Schur Complement) to use descries dimension of design matrix (A) with camera calibration

This folder contains code written in my data structures class at JHU..

We unified some latent block models by proposing a flexible ELBM that is extended to SELBM to address the sparse problem by revealing a diagonal structure from sparse datasets. This leads to obtain more homogeneous co-clusters and therefore produce useful, ready-to-use and easy-to-interpret results.

Generate different types of sparsity pattern for sparse matrices.

I implement I-AutoRec (an autoencoder framework for collaborative filtering b) with Keras and tuned hyperparameters of this model using a validation set.

Labs completed on different subjects in "Igor Sikorsky Kyiv Polytechnic Institute"

Matrix-free implementation of accelerated projected gradient descent for large-scale non-negative least-squares problems.

Optimization algorithms and heuristics

Sparse Matrix: A full-featured library in Python for working with Sparse Matrix.

Custom page rank implementation and comparison between the efficiency of different structures for data manipulations