DINOv1 implementation in Pytorch

Fast and explainable clustering in Python

This repository contains all the updates, code, and documentation related to ClassiPyGRB.

Stylometry approach detecting writing patterns and changings using NLTK, XML-roBERTa, Gensim topic modelling and unsupervised-PCA learning

ChunkeyBert is a minimal and easy-to-use keyword extraction technique that leverages BERT embeddings for unsupervised keyphrase extraction from long text documents.

This script performs KMeans clustering and trains a neural network to predict heart disease, including data preprocessing, clustering visualization, and model evaluation.

efficient graph partitioning

Code supplement for "Unsupervised multimodal modeling of cognitive and brain health trajectories for early dementia prediction"

Multimodal Unsupervised Machine Translation and Unsupervised Representation Learning for high-level model interpretability.

This is a Breast Cancer Detection project with unsupervised learning algorithmic approaches alongside Naive Bayes Classifier Algorithm, Logistic Regression and GaussianNB.

Unsupervised Machine Learning - Clustering

Code of the paper "ML Models for Detecting QoE Degradation in Low-Latency Applications: A Cloud-Gaming Case Study" (IEEE/TNSM 2023)

This script performs customer segmentation analysis using K-means clustering, an unsupervised machine learning (ML) technique, on a marketing dataset.

Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.

This project is a Market Basket Analysis App that analyzes customer purchase patterns to generate association rules and offer personalized product recommendations.

This project implements a collaborative filtering-based recommendation engine for movie suggestions, inspired by Netflix's recommendation system. The recommendation engine utilizes matrix factorization, specifically Singular Value Decomposition (SVD), to predict user preferences and generate personalized movie recommendations.

Self organizing maps (SOM) in Python3.

My code for my master thesis - includes a automatic pipeline to evaluate the clustering capabilities of single tree crown images.

Who Are Your Real Customers? RFM Modelling & K-Means Reveal the Answer.

Formal concept analysis