Matrix Completion applied to the Netflix problem and image inpainting / recovery
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Updated
Jul 24, 2020 - Jupyter Notebook
Matrix Completion applied to the Netflix problem and image inpainting / recovery
low rank matrix completion and clustering on the Netflix Dataset
Interactive dashboard for examining active learning experiments and matrix completion models
A project performing gradient descent and stochastic average gradient descent for matrix completion. The algorithms are tested on some synthetic data before being used on downscaled real X-ray absorption data from a spectromicroscopy experiment. The algorithms' behaviours and outputs are examined in the report.
Optimization for machine learning
Official code for "Accelerating SGD for Highly Ill-Conditioned Huge-Scale Online Matrix Completion", NeurIPS 2022.
Low-rank Singular Value Decomposition (SVD) and Soft Impute Algorithm for matrix completion
Matrix class + Gaussian Elimination, Jacobi Eigenvalue Algorithm, Linear Regression
Code for ICLR2023 paper "Graph Signal Sampling for Inductive 1-bit Matrix Completion: a Closed-Form Solution"
Scaled matrix completion and cell deconvolution with NanoString data, Yichen Zhang, 2019
Imputation method for scRNA-seq based on low-rank approximation
Implementation of tensor network algorithms for completion of sparsely sampled quantum states
Presentation for the exam of Optimal Control within the PhD program in Information Engineering of the Department of Information Engineering @ University of Pisa, A.A. 2021/2022
An official implementation of "Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix Factorization"
Lightweight Implementation of the Matrix Completion Estimator for Panel Data presented by Athey et al. (2021)
This Matrix Calculator includes: (Addition, Subtraction, Multiplication and Transpose). This Matrix calculator is designed using a design pattern (Factory Method) and library (Math.net Numeric). Moreover, it is designed to follow some GUI design principles to make it easy to understand and perform well.
Implementation of Collective Matrix Completion by Mokhtar Z. Alaya and Olga Klopp https://arxiv.org/abs/1807.09010
Numerical examples for the paper "Proximal Projection Method for Stable Linearly Constrained Optimization".
Applications of matrix factorization using GLRM
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