🍃 Recommender System in JavaScript for the MovieLens Database
High-performance KNN similarity functions in Python, optimized for sparse matrices
REPeating Pattern Extraction Technique (REPET) in Matlab for audio source separation: original REPET, REPET extended, adaptive REPET, REPET-SIM, REPET-SIM online
REPeating Pattern Extraction Technique (REPET) in Python for audio source separation: original REPET, REPET extended, adaptive REPET, REPET-SIM, online REPET-SIM
text2vec onnxruntime
Toolbox for spectral non-parametric clustering of SPD matices (covariance matrices and ellipsoids). Also contains code for EM-based GMM learning and inference for Bayesian non-parametric CRP-GMM.
lightweight npm package to calculate string similarity
Hierarchical Clustering Based on Similarity Matrix
This JavaScript implementation detects the areas where two DNA/RNA/protein sequences are similar to each other. All symbols from UTF-8 are accepted by this algorithm.
Data profiler is an attempt to model the behavior of a given operator for a set of datasets.
Calculate the simlilarity of 2 pictures with OpenCV
Similarity matrix calculations, with support for thresholding / sparsity, efficient parallelisation & hierarchy (or quotient graphs)
Data visualization project using graphs and similarity matrix
This project is designed to provide personalized music recommendations for relaxation and meditation. Leveraging ML and data analysis, the system suggests tracks based on user preferences such as tempo, energy, and genre. Join us in enhancing music discovery through advanced algorithms and community-driven contributions.
Matlab GUIs to demo the original REPET and REPET-SIM.
Movie Select - Discover Your Movie Mojo is a Streamlit app offering personalized movie recommendations based on user preferences. It uses a detailed dataset from IMDB and TMDB, allowing users to filter by recommendations, IMDB rating, release category, and revenue, all within an intuitive and visually appealing interface.
Natural language processing project to predict growth from emerging technologies from SEC 10K and YouTube data.
(SIC) Similarity by Iterative Classifications, ICASSP 2016
Build a Movie Recommender App - Algorithm Selection and App Implementation using R's Shiny Platform
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