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150 search results found

Kafkaml Anomaly Detection ⭐ 23

Demo project for real-time anomaly detection using Kafka and python

Classification Ad ⭐ 22

Repository for the paper "Rethinking Assumptions in Anomaly Detection"

Fortlearner ⭐ 21

Machine Learning Algorithms in Fortran

AD4AD: Anomaly Detection for Autonomous Driving

Ml Based Anomaly Detection ⭐ 18

Spectral Residual

Airflow Provider Anomaly Detection ⭐ 17

An airflow provider for anomaly detection.

Autoencoder_vs_metriclearning ⭐ 17

AutoEncoder vs Metric Learning for Anomaly Detection

Machine Learning ⭐ 17

A set of jupyter notebooks

Junos_monitoring_with_healthbot ⭐ 16

Healthbot configuration examples. Scripts to manage Healthbot. Closed loop automation. Healthbot building blocks description and troubleshooting guide

Faster Grad Cam ⭐ 16

Faster and more precisely than Grad-CAM

Deepanomalydetection_benchmark ⭐ 15

Benchmark for DeepLearning anomaly detection

Ai On Browser.github.io ⭐ 14

Machine learning and data analysis package implemented in JavaScript and its online demo.

Interpretation of Isolation Forests

Cvdd Pytorch ⭐ 14

A PyTorch implementation of Context Vector Data Description (CVDD), a method for Anomaly Detection on text.

A Python library for anomaly detection

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

Msana Online Data Stream Analytics And Concept Drift Adaptation ⭐ 13

Data stream analytics: Implement online learning methods to address concept drift in dynamic data streams. Code for the paper entitled "A Multi-Stage Automated Online Network Data Stream Analytics Framework for IIoT Systems" published in IEEE Transactions on Industrial Informatics.

Time_series_anomaly_detection_examples ⭐ 13

Several examples of anomaly detection algorithms for time series data.

Model Selection for Anomaly Detection in Time Series

Network Intrusion Detection System ⭐ 12

En este proyecto se evalúan y comparan diferentes técnicas de aprendizaje automático para la detección de intrusiones en red.

Logjuicer ⭐ 12

LogJuicer extracts anomalies from log

Ml_tutorials ⭐ 12

Applied Machine Learning Tutorials

Encdec Ad Tensorflow ⭐ 10

TensorFlow implementation of EncDec-AD model for multivariate time series anomaly detection with LSTM-based encoder-decoder.

Densratio ⭐ 10

An R Package for Density Ratio Estimation

Time series anomaly detection via decomposition and gaussian process regression.

Robust Deep Learning ⭐ 9

Train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.

Talks Keynotes Slides ⭐ 9

My invited Keynote/Talk at Conferences, Universities, Companies, etc.

A Python library for Bayesian Anomaly Detection

Cic Ddos2019 Deeplearning ⭐ 8

🛡️ A GRU deep learning system against attacks in Software Defined Networks (SDN).

Detect EEG artifacts, outliers, or anomalies using supervised machine learning.

RELOAD: Rapid EvaLuation Of Anomaly Detectors @ UNIFI

Open-set Recognition with Adversarial Autoencoders

Microbiome Toolbox ⭐ 8

Early Life Microbiome Toolbox

Elastic Xpack Machine Learning Tutorial ⭐ 8

A simple tutorial to get started with unsupervised machine learning for the elastic stack

Anomaly Detection Pipeline Kedro ⭐ 8

Anomaly Detection Pipeline with Isolation Forest model and Kedro framework

Extended Isolation Forest ⭐ 8

Rust port of the extended isolation forest algorithm for anomaly detection

Dcase2021_task2_baseline_ae ⭐ 8

Autoencoder-based baseline system for DCASE2021 Challenge Task 2.

2022 Bigcontest ⭐ 7

[ 공모전 ] 다각적 모델을 활용한 대출 신청 여부 예측과 고객 군집 별 서비스 메시지 제안 : 이상치 탐지, 머신러닝, 딥러닝 모델

Quantumvariationalrewinding ⭐ 7

Covalent demonstration of the QVR algorithm using a cryptocurrency time series use case

Dcase2021_task2_baseline_mobile_net_v2 ⭐ 7

MobileNetV2-based baseline system for DCASE2021 Challenge Task 2.

Repository for the Exposing Outlier Exposure paper

Dplan_pytorch ⭐ 7

This repository contains an implementation of an anomaly detection method called DPLAN, which is based on the reinforcement learning framework. The method is described in the paper "Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data" by Pang et al.

Machine Learning ⭐ 7

Andrew Ng's Machine Learning Course

Coursera Ml ⭐ 7

💡This repository contains all of the lecture exercises of Machine Learning course by Andrew Ng, Stanford University @ Coursera. All are implemented by myself and in MATLAB/Octave.

Autoembedder ⭐ 7

PyTorch autoencoder with additional embeddings layer for categorical data 🚘

Anomaly Detection Log Datasets ⭐ 7

Analysis scripts for log data sets used in anomaly detection.

Classification anomaly detection in IOT with Machine Learning

convGRU based autoencoder for unsupervised & spatial-temporal anomaly detection in computer network traffic

Ai Challenge Hit ⭐ 6

Public AI Challenge - Team 10 repository - MeteoTrentino

Oneclassclassifier ⭐ 6

One-class classifiers for anomaly detection (outlier detection)

Amazon Lookout For Equipment Python Sdk ⭐ 6

The Amazon Lookout for Equipment Python SDK is an open-source library that allows you to easily build, train and deploy anomaly detection models for industrial time series data using Amazon Lookout for Equipment

Iot Device Phone Simulator ⭐ 6

A web application which acts as an IoT device when loaded in a smart phone browser. The data from the sensors are then used for Anomaly detection.

Anomaly Crime Activity Detection ⭐ 6

Real Time Detection of Anomalous Activity From Videos (mainly crime actvity). Images of the video is trained using AutoEncoder to get the imtermediate feature representation of image & appliend svm model for the bag of such features to detect the anomaly & LSTM to detect the type of Anomaly.

Predictive Maintenance With Machine Learning ⭐ 5

This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.

Sparkstreaming Network Anomaly Detection ⭐ 5

This repository includes supervised and unsupervised machine learning methods which are used to detect anomalies on network datasets. Decision Tree, Random Forest, Gradient Boost Tree, Naive Bayes, and Logistic Regression were used for supervised learning. K-Means was used for unsupervised learning.

Web Crawler Detection ⭐ 5

Web Crawler Detection using Unsupervised Algorithms

Pneuma_treatment ⭐ 5

Treating noise and anomalies in the vehicle time-series data captured by drones

Advanced Access Point Anomaly Detection System

Sugar candy for data scientist. Easy manipulation in time-series data analytics works.

Code for paper entitled "Improving Novelty Detection using the Reconstructions of Nearest Neighbours"

Anomaly Detection ⭐ 5

Easy to understand classification problem from a highly skewed kaggle dataset. Solved using logistic regression and SVM, code inspired from top contributor.

Anomaly Detection ⭐ 5

Anomaly detection in time-series networks. Spatio-temporal Anomaly Detection

Mts_outlierdetection ⭐ 5

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