tuhinsharma121/ai-playground

Detect anomalies in network traffic data using Federated Machine Learning technique.

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yahoo/egads

A Java package to automatically detect anomalies in large scale time-series data

Language: Java - Size: 1.31 MB - Last synced at: 14 days ago - Pushed at: over 1 year ago - Stars: 1,178 - Forks: 330

jkelleman/rental-bike-sharing

Rental Bike Sharing in DC (2011-2012)

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ahmedgh970/brain-anomaly-seg

Transformer-based Models for Unsupervised Anomaly Segmentation in Brain MR Images

Language: Python - Size: 120 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 20 - Forks: 3

iolag/UPD_study

This repository contains code from our comparative study on state of the art unsupervised pathology detection and segmentation methods.

Language: Python - Size: 669 MB - Last synced at: 9 months ago - Pushed at: about 1 year ago - Stars: 22 - Forks: 6

Abhishake-Patel/Data-Analytics-and-ML

Python Projects on varied topics for Data Analysis and Machine Learning

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SFLazarus/Anomaly-Detector

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

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XiaoxiaoMa-MQ/Awesome-Deep-Graph-Anomaly-Detection

Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.

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absaw/Surface-Water-Quality-Data-Anomaly-Detection

Surface water quality data analysis and prediction of Potomac River, West Virginia, USA. Using time series forecasting, and anomaly detection : ARIMA, SARIMA, Isolation Forest, OCSVM and Gaussian Distribution

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keyvan-amiri/GAE-GAT

This is the complementary repository for "Payment fraud identification by means of business process anomaly detection", the master thesis of Keyvan Amiri Elyasi submitted at the Junior Professorship of Management Analytics, University of Mannheim (July 2022)

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john-fante/ford-motor-data-anomaly-detection-w-aes

The main goal of this project is prediction anomalies in the FORD A motor data using an autoencoder. It has a 500 hours univariate time series data obtained from sensors.

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thiagorcdl/ANIDS

Undergrad paper on Anomaly-based Network Intrusion Detection Systems

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LeapMind/MLF-SC

Anomaly detection method that incorporates multi-scale features to sparse coding

Language: Python - Size: 114 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 44 - Forks: 9

absaw/COVID19Analysis

I was unfortunate to contract COVID-19 during the second wave in India. Time-series graphs, denoting the caseload were omnipresent in this period. I found that time series analysis resonated with me since it used mathematical equations to understand and give meaning to perpetual events. Under the guidance of Professor Supratim Biswas, at IIT Bombay

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rschlaefli/anomaly-detection

Report on Anomaly Detection Methods for Data Streams

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zampierida98/anomaly-detection

Progetto per l'esame del corso di Fondamenti di Intelligenza Artificiale

Language: Python - Size: 12.8 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

tisljaricleo/stm-tensor-convolution

[work-in-progress] Convolutional neural network for anomaly detection on large road networks

Language: Python - Size: 108 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

leeyngdo/anomaly-detection

Applications of AI for Anomaly Detection: Instructor-led training from the NVIDIA Deep Learning Institute (DLI)

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andi-zhx/anomaly-detection-about-air-pollution-data

Language: Python - Size: 1.96 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0