Anomaly Detection Basics

Application of anomalies detecting and imputing algorithms for improving the LightGBM regressor.

Unsupervised anomaly detection on COCO-style masked objects, comparison of results using various state-of-the-art deep autoencoders

Веб-приложение и набор утилит, которые обрабатывают данные World Ocean Database и ICES для обновления референсных значений океанографических характеристик (норм и аномалий) на разрезе "Кольский Меридиан" и построения отчетных изображений для лаб. ОиР ММБИ РАН.

Testing out optimal magic numbers for the old fast inverse square root function.

Exploratory data analysis of white wines data set to understand its chemical propertie using ggplot2 library of R

Developing explainable multimodal AI models with hands-on lab on the life-cycle of rare event prediction in manufacturing @ AAAI-25

Built a few anomaly detection models to determine the anomalies from the data

Credit Card Fraud

This repository aims to identify discords in time series data using the HOT SAX publication as a role model. The base code is result of the work of Dr. Christian Gruhl, while alterations to add the alternative to HOT are the work of this student project.

Streamlit FintechFraud App

Lightweight anomaly detection on RedisTimeSeries using Luminol

The aim of the project is plotting the height anomaly values with contour lines on planet Mars also specially around Perseverance rover and Mount Olympus.

pcbmanudef 🏭🤖 : Manufacturing Anomaly Detection Model # Visual Inspection AI # PCB # Assembly Inspection # Defect # Industrial

Focused on identifying unusual or extreme astrophysical objects.

[done] A set of daily tasks to learn the basics of PostgreSQL

Web application for detecting anomalies

A multi-domain geophysical correlation model linking Schumann Resonance, crustal energy, TEC anomalies, and EM events.