Projects in Awesome Lists tagged with isolation-forest
A curated list of projects in awesome lists tagged with isolation-forest .
https://github.com/david-cortes/isotree
(Python, R, C/C++) Isolation Forest and variations such as SCiForest and EIF, with some additions (outlier detection + similarity + NA imputation)
anomaly-detection imputation isolation-forest outlier-detection
Last synced: 15 May 2025
https://github.com/alexfrancow/a-detector
:star: An anomaly-based intrusion detection system.
anomaly-detection csv flask isolation-forest jquery machine-learning network-analysis pandas pcap-analyzer plotly python python3 scikit-learn security wireshark
Last synced: 09 Jul 2025
https://github.com/xuhongzuo/deep-iforest
offical implementation of TKDE paper "Deep isolation forest for anomaly detection"
anomaly-detection isolation-forest outlier-detection
Last synced: 17 Jan 2026
https://github.com/dachosen1/feature-engineering-for-fraud-detection
Implementation of feature engineering from Feature engineering strategies for credit card fraud
anomaly-detection credit-card-fraud dbscan feature-engineering fraud-detection isolation-forest kmeans local-outlier-factor mean-shift research-paper
Last synced: 20 Apr 2025
https://github.com/deflect-ca/baskerville
Security Analytics Engine - Anomaly Detection in Web Traffic
apache-kafka apache-spark big-data grafana isolation-forest machine-learning prometheus python3 security-analytics spark
Last synced: 23 Aug 2025
https://github.com/talegari/solitude
An implementation of Isolation forest
isolation-forest outliers rpackage rpackages rstats
Last synced: 18 Feb 2026
https://github.com/nmandery/extended-isolation-forest
Rust port of the extended isolation forest algorithm for anomaly detection
anomaly-detection isolation-forest machine-learning
Last synced: 30 Aug 2025
https://github.com/jmbhughes/crcf
Combination Robust Cut Forests: Merging Isolation Forests and Robust Random Cut Forests
anomaly-detection isolation-forest machine-learning robust-random-cut-forest trees
Last synced: 16 Apr 2025
https://github.com/chen0040/java-decision-forest
Package implements decision tree and isolation forest
anomaly-detection boosted-trees classification decision-tree id3 isolation-forest supervised-learning unsupervised-learning
Last synced: 15 Aug 2025
https://github.com/Divya-Bhargavi/isolation-forest
Anomaly detection using isolation forest
anomaly-detection credit-card-fraud isolation-forest
Last synced: 14 Mar 2025
https://github.com/gulabpatel/anomaly_detection
In this repo, different techniques will be done to analyze Anomaly detection
autoencoder dbscan ellipticenvelope fbprophet isolation-forest knn lof oneclasssvm pycaret pynomaly robust-covariance univariate
Last synced: 26 Jun 2025
https://github.com/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.
afr-analysis anomaly-detection automotive bmw car-logs data-driven-diagnostics diagnostics ecu-logging engine-tuning isolation-forest machine-learning mhd performance-monitoring python scikit-learn signal-processing throttle-analysis unsupervised-learning vehicle-data
Last synced: 10 Mar 2026
https://github.com/MuriloChianfa/isp-ddos-auto-detector
DDoS detection using anomaly detection in high-speed ITP networks. Comparing Autoencoder, Isolation Forest, Local Outlier Factor, and One-Class SVM across real ITP datasets, different aggregation windows, and feature selections using Pearson’s correlation coefficient.
anomaly-detection autoencoder bgp cybersecurity-research datasets ddos ddos-attacks ddos-detection high-speed internet-transit-provider isolation-forest isp local-outlier-factor machine-learning netflow-v9 network-security one-class-svm open-science unsupervised-learning
Last synced: 13 Aug 2026
https://github.com/deepmancer/timeseries-anomaly-detection
Analysis of Classical Machine Learning Algorithms for Anomaly Detection in Time Series Data
autoencoder isolation-forest local-outlier-factor machine-learning-algorithms python rolling-statistics scikit-learn scikitlearn-machine-learning step-by-step step-by-step-guide time-series time-series-anomaly-detection z-score
Last synced: 22 Feb 2026
https://github.com/ahmetzamanis/weatheranomalydetectionclassification
Time series anomaly detection, time series classification & dynamic time warping, performed on a dataset of Canadian weather measurements.
autoencoder convolutional-neural-networks darts data-science deep-learning dynamic-time-warping gaussian-mixture-models isolation-forest k-means-clustering machine-learning neural-network plotly principal-component-analysis pyod python pytorch-lightning rocket sktime time-series-anomaly-detection time-series-classification
Last synced: 02 Jan 2026
https://github.com/ahana4banerjee/wireless-sensor-network
Wireless Sensor Network (WSN) is an end-to-end Industrial IoT platform for real-time environmental and network health monitoring. The system combines ESP32-based sensor nodes, MQTT messaging, a FastAPI backend, machine learning pipelines & a modern React dashboard to collect, analyze, and visualize distributed telemetry from multiple sensor nodes.
fastapi gradient-boosting internet-of-things isolation-forest linear-regression mqtt python3 react real-time-monitoring scikitlearn-machine-learning telemetry-data wireless-sensor-networks
Last synced: 19 Jul 2026
https://github.com/rajat116/github-anomaly-project
Real-time anomaly detection system for GitHub activity using Airflow, MLflow, and Terraform
airflow anomaly-detection ci-cd-pipeline data-drift data-pipeline docker github-events infrastructure-as-code isolation-forest mlflow mlops python streamlit terraform
Last synced: 22 Jul 2025
https://github.com/0xsolanaceae/neurolog
ML-Powered Log Analysis
isolation-forest machine-learning scikit-learn
Last synced: 24 Apr 2026
https://github.com/gokularaman-c/ev-charging-log-anomaly-detection
EV charging log anomaly detection using Isolation Forest, engineered telemetry features, and a CLI inference pipeline.
anomaly-detection ev-charging feature-engineering isolation-forest machine-learning mlops python scikit-learn time-series
Last synced: 23 May 2026
https://github.com/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.
isolation-forest pyhton random-forest smote svm xgboost
Last synced: 03 Apr 2025
https://github.com/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.
anomaly-detection cybersecurity flow-analysis isolation-forest machine-learning network-intrusion-detection nids scapy scikit-learn zeek
Last synced: 07 May 2026
https://github.com/msichterman/mobile-app-statistics-analyzer
Analyze iOS applications using an extensive dataset of app store statistics, expose anomalies using the isolation forest algorithm, and visualize data with D3.js.
css d3js expressjs html isolation-forest javascript mongodb mongoose nodejs react
Last synced: 09 Apr 2026
https://github.com/mohit1106/fraud-detection-in-financial-transactions
an anomaly detection system on 284,807 transactions, achieving an AUC of ~0.972 with CNNs and Autoencoders.
autoencoders cnn-model isolation-forest keras python scikit-learn tensorflow
Last synced: 10 Apr 2026
https://github.com/kpriyanshu256/anomalydetection
Using Isolation Forest
anomaly-detection isolation-forest python sklearn
Last synced: 11 Apr 2026
https://github.com/secwexen/log-anomaly-detector
log-anomaly-detector is a lightweight yet powerful machine‑learning–based anomaly detection tool designed for security analysts, SOC teams, and threat hunters. It analyzes system and application logs (such as syslog, auth.log, and web server logs) to automatically identify unusual patterns, suspicious behavior, and potential security incidents.
anomaly-detection cli-tool cybersecurity data-preprocessing flask intrusion-detection isolation-forest local-outlier-factor log-analysis log-monitoring machine-learning ml-security one-class-svm python security-automation security-tool siem threat-hunting unsupervised-learning
Last synced: 29 Jan 2026
https://github.com/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
anogan anomaly-detection autoencoder deep-learning ganomaly generative-adversarial-network isolation-forest local-factor-outlier neural-network one-class-svm python pytorch siamese-neural-network variational-autoencoder
Last synced: 13 Apr 2026
https://github.com/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.
anomaly-detection data-science data-science-portfolio data-science-projects financial-data fraud-detection isolation-forest machine-learning outlier-detection transactions unsupervised-learning
Last synced: 12 Jun 2025
https://github.com/sangramdedge/ai_fraud_detection
End-to-end AI Fraud Detection & Transaction Monitoring project using SQL, Python, ML models, SHAP explainability, and FastAPI integration.
ai-ml credit-analytics financial-analysis isolation-forest narrative-ai predictive-modeling python3 random-forest risk-analysis sklearn sql
Last synced: 07 Oct 2025
https://github.com/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.
anomaly anomaly-detection cblof flask isolation-forest knn matplotlib numpy pandas pyod python sklearn
Last synced: 19 Jan 2026
https://github.com/fyt3rp4til/anomaly-detection
dbscan-clustering isolation-forest local-outlier-factor matplotlib numpy sklearn
Last synced: 05 Mar 2026
https://github.com/gaisma22/logsense-ai
AI-powered local tool that highlights unusual patterns in system logs.
anomaly-detection flask isolation-forest log-analysis machine-learning nlp open-source python security-awareness system-logs
Last synced: 05 Apr 2026
https://github.com/vishnun0027/pulseai
🧠 PulseAI — Real-time AI-powered system behavior anomaly detection with SHAP explainability, self-learning feedback loop, and Prometheus observability. Built with Rust, Go, and Python.
anomaly-detection docker fastapi golang isolation-forest machine-learning prometheus python real-time rust shap timescaledb
Last synced: 20 Apr 2026
https://github.com/felipeversiane/ia-regression
a regression problem to predict values in a open ifg database.
decision-tree-regression isolation-forest jupyter-notebook linear-regression matplotlib one-hot-encoding pandas python sklearn
Last synced: 27 Apr 2026
https://github.com/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.
anomaly-detection bitcoin blockchain data-science dbscan fraud-detection isolation-forest k-means machine-learning pca python tsne unsupervised-learning
Last synced: 28 Apr 2026
https://github.com/bits-bytes-nn/ieee-fraud-detection
IEEE-CIS Fraud Detection with Unsupervised Learning
altair copod fraud-detection isolation-forest pyod random-cut-forest sagemaker
Last synced: 08 Jun 2026
https://github.com/goutamhegde002/creditcard-fraud-detection-streamlit-application-
Creditcard Fraud Detection Streamlit Application with ARIMA and LOF
anomaly-detection credit-card credit-card-fraud credit-card-fraud-detection credit-card-fraud-detection-using-machine-learning data-processing fraudulent-transactions isolation-forest machine-learning pca pca-analysis real-time-anomaly-detection sckiit-learn streamlit streamlit-community streamlit-webapp visualisation
Last synced: 13 May 2026
https://github.com/SiddhiB-05/Smart_traffic_Intelligence
An AI-powered traffic intelligence system for Bengaluru that predicts congestion, detects anomalies, and auto-generates actionable deployment plans for traffic authorities.
fastapi generative-ai groq isolation-forest machine-learning nextjs traffic-management-system xgboost
Last synced: 31 Jul 2026
https://github.com/anil-turan/aml-fraud-detection
Multi-model fraud detection pipeline: Isolation Forest + LSTM Autoencoder + XGBoost ensemble (AUC-PR 0.93). Covers 5 AML typologies (structuring, velocity, geo-risk). Integrated SAR triage workflow aligned with POCA 2002 & FCA ML Regs 2017. 19 tests.
aml anomoly-detection financial-crime fraud-detection imbalanced-learning isolation-forest kyc lstm-autoencoder python pytorch sar xgboost
Last synced: 01 Aug 2026
https://github.com/aonurakman/data-analysis-and-ml-algorithms
An exploration of data analysis techniques and standard ML algorithms on QSAR oral toxicity dataset. - 2021 - Yıldız Technical University
classification clustering data-analysis data-mining isolation-forest python regression
Last synced: 20 Jun 2026
https://github.com/mohit1106/Fraud-Detection-In-Financial-Transactions
an anomaly detection system on 284,807 transactions, achieving an AUC of ~0.972 with CNNs and Autoencoders.
autoencoders cnn-model isolation-forest keras python scikit-learn tensorflow
Last synced: 17 Oct 2025
https://github.com/yanexr/bvdb-anomaly-detection
Methods of Anomaly Detection for Pain Recognition in Biophysiological Time Series - Bachelor Thesis
anomaly-detection autoencoder isolation-forest matrix-profile time-series
Last synced: 30 Mar 2025
https://github.com/avisionh/detect-anomalouspupildestination
Applies unsupervised anomaly detection techniques to spot outlier observations for pupil destinations.
anomaly-detection isolation-forest unsupervised-machine-learning
Last synced: 22 Mar 2025
https://github.com/mrlizhaozhi/fraud-detection-modelling-and-reporting
Fraud Detection Modelling and Reporting (Regression, Isolation Forest, Random Forest, XGBoost, and LightGBM)
analytics ensamble-methods fraud-detection isolation-forest lightgbm logistic-regression machine-learning python random-forest reporting statistical-analysis supervised-learning tree-based-models unsupervised-learning xgboost
Last synced: 18 Sep 2025
https://github.com/faint-liebfraumilch101/fraud-detection-sql-unsupervised
🕵️♂️ Detect fraud in bank transactions using SQL for feature engineering and Python's Isolation Forest for unsupervised anomaly detection.
anomaly-detection banking-data data-analysis data-science financial-analytics fraud-detection isolation-forest machine-learning portfolio-project python sql sqlite unsupervised-learning
Last synced: 07 May 2026
https://github.com/yugalsoni18/counterfeit_review_detection
Fake review detection using TF-IDF & SVM (AUC 0.98), plus Counterfeit Risk Score with clustering & anomaly detection.
business-analytics fraud-detection isolation-forest kmeans nlp python risk-scoring scikit-learn svm tfidf
Last synced: 18 May 2026
https://github.com/suvanwita/safescope
Women safety pattern analyzer using public crime datasets, DBSCAN hotspot clustering, Isolation Forest anomaly detection, geospatial heatmaps, and explainable risk scoring to surface historical incident patterns and time-aware safety insights
civic-tech crime-analysis dbscan isolation-forest machine-learning plotly python risk-scoring scikit-learn streamlit women-safety
Last synced: 25 Jun 2026
https://github.com/amsh4/livesketch
Real-time collaborative drawing app with React UI, Elixir backend, and Python analytics. Enables seamless sketching, anomaly detection, and scalable infra.
devops docker elixir functional-programming isolation-forest pandas phoenix python react websocket
Last synced: 07 Apr 2026
https://github.com/j-sephb-lt-n/unsupervised-fraud-detection
Exploring anomaly detection using unsupervised methods in scikit-learn
anomaly anomaly-detection fraud-detection isolation-forest local-outlier-factor outlier outlier-det scikit-learn sklearn unsupervised
Last synced: 07 May 2026
https://github.com/msikorski93/detecting-outliers-in-a-dataset
An example of improving data quality and identifying anomalies within a real-life dataset for master data management or data engineering.
elliptic-envelope interquartile-ranges isolation-forest outliers sql-server z-score
Last synced: 03 Aug 2026
https://github.com/ksharma67/anomaly-detection-on-temperature-device-failure
A typical anomaly detection task and performing KMeans, PCA, Gaussian distribution, and Isolation Forest.
eda ellipticenvelope feature-engineering gaussian-distribution isolation-forest kmeans-clustering numpy pca python sklearn
Last synced: 11 Apr 2026
https://github.com/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.
anomaly-detection autoencoder credit-card credit-card-fraud data-science-portfolio isolation-forest machine-learning matplotlib mlops-project pandas predictive-analytics python tensorflow tutorials
Last synced: 19 Oct 2025
https://github.com/olk/filmcalib
calibration of photographic film
calibration isolation-forest photography python
Last synced: 26 Mar 2025
https://github.com/kisoo95/dacon-monthly-dacon-credit-card-fraud-deal-detection-ai-competition
Winning one of the DACON competition
dacon isolation-forest kernel-pca pacmap
Last synced: 17 Mar 2025
https://github.com/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. 🔍📊
anomaly-detection chatbot data-visualization deepseek financial-analysis financial-data isolation-forest llm machienlearning ollama report-generator streamlit
Last synced: 12 Apr 2026