Interactive dashboard for examining active learning experiments and matrix completion models
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Updated
Aug 19, 2022 - Python
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.
Official code for "Accelerating SGD for Highly Ill-Conditioned Huge-Scale Online Matrix Completion", NeurIPS 2022.
Scaled matrix completion and cell deconvolution with NanoString data, Yichen Zhang, 2019
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
Matrix Completion algorithms are used for building recommendation systems in Netflix, Amazon, Spotify etc...
Communication-Efficient Stratified Stochastic Gradient Descent for Distributed Matrix Completion
Essays on the Political Economy of the American Frontier
This repo. is to save the codes in my article "Low-Rank Matrix Completion via QR-Based Retraction on Manifolds"
Using dataset from https://grouplens.org/datasets/movielens/ to build a recommendation system by KNN
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.
low rank matrix completion and clustering on the Netflix Dataset
Optimization for machine learning
Matrix class + Gaussian Elimination, Jacobi Eigenvalue Algorithm, Linear Regression
Totally functional view of geometric matrix completion
Replication code for "State-Building through Public Land Disposal? An Application of Matrix Completion for Counterfactual Prediction"
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