Modularized Fortran LAPACK implementation
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Updated
Jun 3, 2024 - Fortran
Modularized Fortran LAPACK implementation
Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username
LAPACK development repository
Streamlining Software Design
Movie Recommender
Product Recommender
This is the Capstone Project at UTD 2021. I collaborated with Adam Shaker, David Terry, and our advisor Yifei Lou to explore the different methods of matrix completion to find the most optimal way to complete the matrix.
This repo is the code for the 2024 IEEE PES GM paper. It proposes a novel topology embedding method for handling topology problem in power system.
Ultra-Fast Principal Component Analysis All in One
Compute Lyapunov exponents and Covariant-Lyapunov-Vectors of an RNN update trajectory
A Python scikit for building and analyzing recommender systems
"This repository hosts an implementation of the Singular Value Decomposition (SVD) algorithm tailored for data mining tasks. SVD is utilized for efficient dimensionality reduction, aiding in the extraction of key patterns and features from large and complex datasets."
Get the Word Embeddings using methods - SVD (single value decomposition) and Skip-Gram with Negative-Sampling
This is a PRML course project about developing movie recommendation system using traditional ML techniques.
Moodify is a Flask-based web application that seamlessly integrates facial emotion recognition (FER) with personalized music recommendations.
This project aims to build an advanced book recommendation system by integrating collaborative filtering, content-based filtering, and machine learning. It offers tailored suggestions based on user preferences and interactions, using EDA for insights and cosine similarity and SVD for precise recommendations.
Various Small Projects on Various Subjects
Compression d'image avec la SVD
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