Popular GitHub Repositories for K Means

This repository consists content, assignments, assignments solution and study material provided by ineoron ML masters course

[NAACL 2022]Mobile Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP)

Machine learning tool to detect landslides from optical satellite imagery

GloVe word vector embedding experiments (similar to Word2Vec)

Topic modelling on financial news with Natural Language Processing

Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.

TensorFlow-based implementation of (Gaussian) Mixture Model and some other examples.

ML model for stock trend prediction using Python

A neural speech codec based on discrete WavLM representations

PyTorch implementation of "A Simple Baseline for Low-Budget Active Learning".

Movie recommendation system based on hybrid recommender and clustering

Simulation of job offers and CVs with real-time processing, classification, and analytics using Kafka, Ray, Spark, and Databricks. Includes a Flask-based recommendation system and Tableau visualizations.

Linear Predictive Coding Vector Quantization and Hidden Markov Modeling for speech recognition

This project involves training of Machine Learning models to predict the Heart Failure for Heart Disease event. In this KNN gives a high Accuracy of 89%.

Solutions to Coursera Machine Learning course programming assignments

Incrementally partition data into `k` clusters.

Part of my PhD thesis - a framework for reconstruction of damaged AIS data, consisting of 3 stages: clustering, anomaly detection and prediction

naive bayes, logistic regression, KNN and K-means

Algorithms related to clustering such as k-Medians, DBSCAN as well as vector quantization.

This is a computer vision project using python3 and conventional computer vision techniques to determine a relative distance between two points in a given scene.