Official Code for "EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting (ICCV 2023)"

A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).

This repository contains scripts to apply the MTM-SVD analysis method to climate data and model outputs. It is a direct adaptation of the Matlab script developed by M. Correa-Ramirez.

Hung-Yi Lee Linear Algebra 2018 Fall Homework

Information retrieval and text mining using SVD in LSI. SVD has been implemented completely from scratch.

Building Recommendation systems using Singular Value Decomposition (SVD), knn Algorithm, Collaborative filtering, etc

Face recognition using singular value decomposition.

Python code to calculate singular value decomposition of a colored image and reconstruct it using fewer dimensions.

A package for synthetic data generation for imputation using single and multiple imputation methods.

Develop predictive models that can determine, given a particular compound, whether it is active (1) or not (0).

Implementing Singular Value Decomposition for image compression. Part of my unique University of Michigan Math 214 Final Project which explored the application of linear algebra in the real world.

High Order SVD and ACA Homework from Low Rank approximation lecture

The last Mini-Project of the Linear Algebra Course

Demonstration of vectorization of movies, recommendation using collaborative filtering and classification.

Implementation of SVD without using package.

'Fits' a vector/vectors to the helix/helicies using Singular Value Decomposition (SVD) and measures angle between them in a trajectory.

Python package to handle matrices written as the sum of a low rank and a sparse matrix (under development)

Compilation of the assignments of the course of COL726: Numerical Algorithms (Spring 2021) and their solutions

assignment one of robotics technology course at indian institute of technology delhi for the fall semester 2021-22