🍃 Recommender System in JavaScript for the MovieLens Database
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Updated
May 12, 2021 - JavaScript
🍃 Recommender System in JavaScript for the MovieLens Database
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
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.
text2vec onnxruntime
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.
Hierarchical Clustering Based on Similarity Matrix
Similarity matrix calculations, with support for thresholding / sparsity, efficient parallelisation & hierarchy (or quotient graphs)
Matlab GUIs to demo the original REPET and REPET-SIM.
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.
Calculate the simlilarity of 2 pictures with OpenCV
Data visualization project using graphs and similarity matrix
Collaborative and Content based Recommendation System ( POC with additional business logic )
Personalized Music Recommender using Word2vec and Gower Similarity.
(SIC) Similarity by Iterative Classifications, ICASSP 2016
Natural language processing project to predict growth from emerging technologies from SEC 10K and YouTube data.
Using digital form of the actual scripts of the 'Star Trek' science fiction series to perform interesting NLP tasks and answering some questions on Topic Modelling, Character properties and the plot as a whole.
Recommendation systems: simple theory of collaborative filtering
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