GitHub topics: isolation-forest | Ecosyste.ms: Repos

krishaa1803/Bitcoin-Transaction-Anomaly-Detection-using-Unsupervised-Machine-Learning

Built an unsupervised Machine Learning pipeline to detect anomalies in Bitcoin transactions by selecting 19 key features from 700.

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TAYMESMAEE/Anomaly-Detection-in-Transactions

Anomaly detection in transactions means identifying unusual or unexpected patterns within transactions or related activities. These patterns, known as anomalies or outliers, deviate significantly from the expected norm and could indicate irregular or fraudulent behaviour.

Language: Python - Size: 41 KB - Last synced at: about 23 hours ago - Pushed at: about 23 hours ago - Stars: 0 - Forks: 0

otuemre/RealTimeNIDS

Real-time network intrusion detection system using Zeek flow logs and machine learning (IsolationForest). Detects threats with both signature-based and anomaly-based techniques trained on the CSE-CIC-IDS2018 dataset.

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munas-git/hotel_booking_price_elasticity_modeling_and_customer_segmentation

Modeling hotel booking demand and segmenting guests using price elasticity analysis, statistical modeling, and behavioral clustering to inform targeting and STP strategies.

Language: Jupyter Notebook - Size: 9.05 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

0xSolanaceae/NeuroLog

ML-Powered Log Analysis

Language: Python - Size: 962 KB - Last synced at: about 6 hours ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

anacletu/ml-intrusion-detection-cicids2017

Machine Learning-based Intrusion Detection System (IDS) tailored for resource-constrained networks

Language: Jupyter Notebook - Size: 11.2 MB - Last synced at: 18 days ago - Pushed at: 19 days ago - Stars: 2 - Forks: 0

ReverendBayes/BMW-MHD-Log-Anomaly-Detector

BMW MHD log anomaly detector — a damn useful tool for tuners and enthusiasts. Detects log anomalies using Isolation Forests trained on real driving data with binary features for AFR spikes, throttle faults, and RPM anomalies.

Language: Python - Size: 83.3 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 2 - Forks: 0

SriBalaji2112/Advanced-Techniques-for-Detecting-Anomalies-in-EDR-Logs-for-Cybersecurity-SOC-Analytics

This project focuses on building an AI-driven anomaly detection framework that uses the Isolation Forest algorithm to identify suspicious events in unstructured system log data.

Language: Python - Size: 10.6 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0

prathamesh693/01_Credit-Card-Fraud-Detection-Using-Anomaly-Detection

This repository contains a machine learning-based system for detecting fraudulent credit card transactions using Isolation Forest and One-Class SVM algorithms. The project includes data preprocessing, exploratory data analysis (EDA), model training, evaluation, and real-time fraud prediction via a Streamlit web interface.

Language: Python - Size: 81 MB - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 0 - Forks: 0

david-cortes/isotree

(Python, R, C/C++) Isolation Forest and variations such as SCiForest and EIF, with some additions (outlier detection + similarity + NA imputation)

Language: C++ - Size: 5.86 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 211 - Forks: 40

nmandery/extended-isolation-forest

Rust port of the extended isolation forest algorithm for anomaly detection

Language: Rust - Size: 393 KB - Last synced at: 14 days ago - Pushed at: about 2 years ago - Stars: 17 - Forks: 4

EpicElectrons/ZEROHACK-CODE

ZeroHack

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aadhamashraf/Fraud-Detection-Interpretability-and-Explainability

Developing fraud detection systems using a variety of machine learning and deep learning models. Emphasis is placed on model explainability to ensure transparency in predictions, an essential aspect in financial applications.

Language: Jupyter Notebook - Size: 24.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

AdewumiA/Realtime-Anomaly-Detection

Real-Time Anomaly detection in Timeseries streaming data

Language: Python - Size: 6.15 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

linkedin/isolation-forest

A distributed Spark/Scala implementation of the isolation forest algorithm for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference.

Language: Scala - Size: 2.05 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 243 - Forks: 50

AwadallaAlashkar/SchedMaster

SchedMaster lies in its hybrid approach - combining classical scheduling algorithms with optimization techniques like Greedy Algorithms, Dynamic Programming, and Backtracking. Additionally, it leverages simple ML models to predict process behavior, detect anomalies in resource usage, and recommend the most suitable scheduling strategies.

Language: Python - Size: 267 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

vivek081202/PixShotCryption

Pixshotcryption is an interactive cybersecurity tool that combines advanced encryption and steganography to securely hide messages in images. Ideal for confidential communication, securing intellectual property, and digital media integrity verification where data security is critical.

Language: Python - Size: 129 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

vivek081202/SchedMaster

SchedMaster lies in its hybrid approach - combining classical scheduling algorithms with optimization techniques like Greedy Algorithms, Dynamic Programming, and Backtracking. Additionally, it leverages simple ML models to predict process behavior, detect anomalies in resource usage, and recommend the most suitable scheduling strategies.

Language: Python - Size: 294 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

ursuswh-metamorphic/NetSniff-Guard-Real-time-Packet-Capture-Anomaly-Detection

NetSniff-Guard is an advanced network security tool that captures live network packets and detects anomalies using machine learning techniques. It analyzes traffic in real-time based on multiple features including packet size, protocol, timing patterns, and flow behavior. The system provides immediate alerts for suspicious activities.

Language: Python - Size: 801 KB - Last synced at: 27 days ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

sumitdeole/AML_anomaly_detection

This project uses customer credit card transactions data, employs advanced anomaly detection and ML models and detects fraudulent transactions and networks.

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katerinaharana/Team-2-Project

Predicting the City Cycle Fuel Consumption in MPG of a Car. A Classification Problem

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zahramh99/Anomaly-Detection-in-Transactions

Anomaly detection in transactions means identifying unusual or unexpected patterns within transactions or related activities. These patterns, known as anomalies or outliers, deviate significantly from the expected norm and could indicate irregular or fraudulent behaviour.

Language: Python - Size: 43.9 KB - Last synced at: 10 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

mohit1106/Fraud-Detection-In-Financial-Transactions

an anomaly detection system on 284,807 transactions, achieving an AUC of ~0.972 with CNNs and Autoencoders.

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msimms/LibIsolationForest

C++, rust, julia, python2, and python3 implementations of the Isolation Forest anomaly detection algorithm.

Language: Python - Size: 124 KB - Last synced at: 14 days ago - Pushed at: almost 4 years ago - Stars: 35 - Forks: 11

elnurisg/anomaly_detection_for_shared_mobility

Detecting anomalies for/from shared mobility in an interpretable way

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Jabonsote/Financial-Anomaly-Detection-with-DeepSeek-and-Isolation-Forest

🚀 Financial Anomaly Detection with DeepSeek and Isolation Forest – A powerful, locally-run tool for detecting financial anomalies using Isolation Forest and DeepSeek LLM. Features AI-powered insights, interactive time-series visualization, and automated PDF audit reports. 🔍📊

Language: Python - Size: 4.29 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

parth1899/Barclays-Hack-O-Hire Fork of parthpetkar/Barclays-Hack-O-Hire-Project

Anomaly Detection Framework | Built for Barclays Hack-O-Hire 2024 | Uses Apache Spark, Isolation Forest & MongoDB to detect irregularities in financial trade data, ensuring accuracy & reducing manual effort.

Language: Python - Size: 1.37 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 1

das-amlan/Credit-Card-Fraud-Detection-Using-ML-and-Different-Class-Imbalance-Handling-Approaches

A machine learning-based system for detecting fraudulent credit card transactions, leveraging advanced techniques like SMOTE, under-sampling, and anomaly detection models. Built with Random Forest, XGBoost, and SVM for robust performance on imbalanced datasets.

Language: Jupyter Notebook - Size: 187 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

MinersAI/geochemical_anomaly_detection

Functions and example notebooks for using/comparing different methods of geochemical multivariate outlier detection.

Language: Jupyter Notebook - Size: 6.22 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

dple/awesome-papers-and-source-code-for-anomaly-detection

Awesome machine learning algorithms for anomaly detection, including papers and source code

Size: 1.95 KB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 1

JongueBongers/GEDI_Outlier_Detector

Outlier detection for GEDI waveform lidar data

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mohiteamit/lending-club-study

Student Exercise | EDA | Lending Club Case Study

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dachosen1/Feature-Engineering-for-Fraud-Detection

Implementation of feature engineering from Feature engineering strategies for credit card fraud

Language: Jupyter Notebook - Size: 44 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 41 - Forks: 10

yanexr/BVDB-anomaly-detection

Methods of Anomaly Detection for Pain Recognition in Biophysiological Time Series - Bachelor Thesis

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deflect-ca/baskerville

Security Analytics Engine - Anomaly Detection in Web Traffic

Language: Python - Size: 75.5 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 31 - Forks: 4

mcarocortes/Fraudulent_Transactions

Implementación de modelos de detección de fraude en tarjetas de crédito utilizando técnicas de aprendizaje automático y detección de anomalías. Se aborda el problema del desbalance de clases y se optimiza el rendimiento del modelo para minimizar falsos negativos.

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e-XpertSolutions/go-iforest

Isolation forest implementation in Go

Language: Go - Size: 13.7 KB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 34 - Forks: 7

pr0ximaCent/Signal_Sentry-Detect_Anomalies_In_Network_Performance_Metrics

An anomaly detection system tailored for telecom networks. It identifies irregularities in network performance metrics such as latency, packet loss rate, signal strength, interference levels, and energy efficiency.

Language: Jupyter Notebook - Size: 20.5 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 1

alexfrancow/A-Detector

:star: An anomaly-based intrusion detection system.

Language: Python - Size: 137 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 82 - Forks: 10

felipeversiane/ia-regression

a regression problem to predict values in a open ifg database.

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olk/filmcalib

calibration of photographic film

Language: Python - Size: 58.6 KB - Last synced at: 20 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Sn0wAlice/POC-Isolation-Forest-WEB

This poc allow you to train & check a pseudo Isolation forest algorithm to detect malware & other vulnerability.

Language: Rust - Size: 47.9 KB - Last synced at: 27 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

dahsie/anomalie_detection

Ce projet est réalisé dans le cardre de mon projet académique de fin de cursus ingénieur informatique en data science. L'objectif est de réalisé la détection d'anomalie qui sont de types varié en utilisant les machine learning et le deep learning

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smilee3998/nyc_taxi_analysis

Preprocessing and Analyzing NYC Yellow taxi passenger count for 2022 and 2023 using Isolation forest

Language: Python - Size: 202 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

sajadh76/Anomaly-Detection-Optical-Networks

Anomaly Detection in Optical Networks

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joangrasa/TFM_ES

Predictive Fault Detection in Photovoltaic Inverters using semi supervised learning

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GenjiSup/Breast-Cancer-Prognosis-Prediction

This repository contains the code for the creation of a model to predict the prognosis of breast cancer patients.

Language: R - Size: 6.42 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

J-sephB-lt-n/unsupervised-fraud-detection

Exploring anomaly detection using unsupervised methods in scikit-learn

Language: Python - Size: 71.8 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

PedroJRod/Projeto-de-Identifica-o-de-Anomalias-em-Despesas---Prefeitura

Projeto com o objetivo de identificar despesas com potencial de anomalia de credenciamento para prestação de serviços de pequenos reparos, reformas e manutenções corretivas e preventivas na Prefeitura.

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goutamhegde002/Creditcard-Fraud-Detection-Streamlit-Application-

Creditcard Fraud Detection Streamlit Application with ARIMA and LOF

Language: Python - Size: 20.5 KB - Last synced at: 4 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

TimoSavi/ceif

Categorized extended isolation forest tool

Language: C - Size: 6.55 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 3 - Forks: 1

FYT3RP4TIL/Anomaly-Detection

Language: Jupyter Notebook - Size: 683 KB - Last synced at: 4 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

deepmancer/timeseries-anomaly-detection

Analysis of Classical Machine Learning Algorithms for Anomaly Detection in Time Series Data

Language: Jupyter Notebook - Size: 406 KB - Last synced at: 8 months ago - Pushed at: 10 months ago - Stars: 3 - Forks: 0

akshay-kamath/Anomaly_detection

This project addresses the challenge of identifying anomalies in sales data, aiming to optimize sales strategies by uncovering deviations from expected profit patterns.

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piyush960/FinWatch

A machine learning-based anomaly detection system designed to identify anomalous transactions in consumer banking and financial activities.

Language: Jupyter Notebook - Size: 5.17 MB - Last synced at: 8 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 1

mattiacarletti/DIFFI

Official repository of the paper "Interpretable Anomaly Detection with DIFFI: Depth-based Isolation Forest Feature Importance", M. Carletti, M. Terzi, G. A. Susto.

Language: Jupyter Notebook - Size: 1.33 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 25 - Forks: 9

roniantoniius/Enhancing-Network-Security-through-Anomaly-Detection

an effective network anomaly detection system to identify suspicious activities and attacks on networks

Language: Jupyter Notebook - Size: 4.15 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

yugwangyeol/KAMP

[Competition] KAMP : 2022년 제2회 K-인공지능 제조데이터 분석 경진대회 : 시계열 분석 기반 용해물 품질 예측 AI 모델 개발

Language: Jupyter Notebook - Size: 10.8 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

xuhongzuo/deep-iforest

offical implementation of TKDE paper "Deep isolation forest for anomaly detection"

Language: Python - Size: 6.04 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 71 - Forks: 18

jmbhughes/crcf

Combination Robust Cut Forests: Merging Isolation Forests and Robust Random Cut Forests

Language: Python - Size: 2.51 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 14 - Forks: 3

purrvaja/Anomaly-Detection-in-FX-data

Forex analysis and anomaly detection for data obtained using the REST API of the European Central Bank.

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anonexploiter/Defenzio

Defenzio is a cutting-edge prototype designed to detect zero-day attacks using Deep-learning.

Language: Jupyter Notebook - Size: 256 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

DetectionNetworkTrafficAnomaliesForICS/ML

Data Reserch трафика Modbus и приложение моделей ML для поиска аномалий в нем

Language: Jupyter Notebook - Size: 559 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Divya-Bhargavi/isolation-forest

Anomaly detection using isolation forest

Language: Python - Size: 772 KB - Last synced at: 11 months ago - Pushed at: about 6 years ago - Stars: 11 - Forks: 5

rajeevvhanhuve/Credit-Card-Anomaly-Detection

Anomaly Detection

Language: Jupyter Notebook - Size: 1.07 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

AhmetZamanis/WeatherAnomalyDetectionClassification

Time series anomaly detection, time series classification & dynamic time warping, performed on a dataset of Canadian weather measurements.

Language: Python - Size: 23.8 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

manishsingh7163/Machine-learning

Language: Jupyter Notebook - Size: 9.83 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 1

blitzapurv/Unsupervised-Abnormality-Detection

Cyclone Preheater Abnormality Study

Language: Jupyter Notebook - Size: 2.64 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

anumohan10/EDA-Telecom-Churn

Exploratory Data Analysis - Telecom Customer Churn

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katherinGriffi/M-todos_extra-o_outliers

Métodos para extração de outliers

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haldersourav/anomaly-detection

Comparison of various anomaly detection algorithms using scikit-learn and visualization through Plotly Dash

Language: Python - Size: 11.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Shardy2907/Credit-Card-Fraud-Detection

Anomaly Detection strategies were used for detection of credit card fraud.

Language: Jupyter Notebook - Size: 513 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

souaddev/Dynamic-time-warping-based-anomaly-detection-for-industrial-control-system

An approach for anomaly detection in Industrial Control Systems (ICS), using Water Treatment Dataset (SWaT). The implementation incorporates cutting-edge machine learning techniques, including Isolation Forest and Autoencoder models, augmented by Dynamic Time Warping (DTW) algorithm.

Language: Jupyter Notebook - Size: 1.24 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

souaddev/OST_Anomaly_Detection

Comparative Analysis of Unsupervised Learning Methods for Real-time Anomaly Detection in Industrial Control Systems (ICS)

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kisoo95/DACON-Monthly-DACON-Credit-Card-Fraud-Deal-Detection-AI-Competition

Winning one of the DACON competition

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achrafbalij/fraud_detection

Fraud detection using unsupervised learning models: autoencoder and isolation forest

Language: Jupyter Notebook - Size: 245 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

ManafMukred/Time_Series_forcasting_and_Anomaly_Detection

This project aims to predict Wind Turbine output power and searches for any anomalies

Language: Jupyter Notebook - Size: 4.07 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

HSaurabh0919/epsil

Application of Machine Learning in Finance Domain

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chris-park/eif

Extended Isolation Forests for Anomaly/Outlier Detection in R

Language: R - Size: 39.1 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 0

anis-kaci/Isolation-Forest-anomaly-detection

Anomaly/outlier detection using Isolation forest

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AjNavneet/TransactionFraudDetection_IsolationForest_LOF

Fraud transactional detection using Isolation Forest and Local Outlier Factor (LOF) models.

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KishoreKaushal/AnomalyDetection

Implementing and improving the State-Of-The-Art (non-DL based) Anomaly Detection algorithms.

Language: Python - Size: 5.43 MB - Last synced at: 11 months ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 0

gulabpatel/Feature_Engineering

Language: Jupyter Notebook - Size: 5.44 MB - Last synced at: 17 days ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 0

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

Language: Jupyter Notebook - Size: 14.4 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 7 - Forks: 7

vaitybharati/EDA2

Exploratory Data Analysis Part-2

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maheskakarot/credit-card-fraud-detection

This is one of the kaggle challenges to identify fraudulent credit card transactions.

Language: Jupyter Notebook - Size: 91.8 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

Albertsr/Anomaly-Detection

UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.

Language: Python - Size: 9.52 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 245 - Forks: 81

talegari/solitude

An implementation of Isolation forest

Language: R - Size: 583 KB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 24 - Forks: 3

DeanVogt/Data-Science-Examples

Data Science Examples

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titicaca/spark-iforest

Isolation Forest on Spark

Language: Scala - Size: 74.2 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 221 - Forks: 91

Mihryam/UnsupervisedTimeSeries_AnomalyDetection

Anomaly detection model for the pressure values of a separator tank for oil production.

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sharmasapna/credit-card-fraud-detection

Code to detect credit card fraud detecton

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rmalired/AI

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aanchal1308/Fraud-detection

Machine learning algorithm to detect fraudulent credit card transactions

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omkarpawar1430/Anomaly-Detection-Exercise

Explore anomaly detection methods using the Isolation Forest approach in this GitHub project. Learn preprocessing techniques like one-hot encoding and timestamp conversion to enhance data analysis. Apply the algorithm to identify anomalies effectively. Adapt these insights to your own projects.

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