Projects in Awesome Lists tagged with anomaly-detection

https://github.com/pycaret/pycaret

An open-source, low-code machine learning library in Python

anomaly-detection citizen-data-scientists classification clustering data-science gpu machine-learning ml pycaret python regression time-series

Last synced: 27 Oct 2024

https://github.com/unit8co/darts

A python library for user-friendly forecasting and anomaly detection on time series.

anomaly-detection data-science deep-learning forecasting machine-learning python time-series

Last synced: 16 Dec 2024

https://github.com/sktime/sktime

A unified framework for machine learning with time series

ai anomaly-detection changepoint-detection data-mining data-science forecasting hacktoberfest machine-learning scikit-learn sktime time-series time-series-analysis time-series-classification time-series-regression time-series-segmentation

Last synced: 16 Dec 2024

https://github.com/yzhao062/Pyod

A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

anomaly anomaly-detection autoencoder data-analysis data-mining data-science deep-learning fraud-detection machine-learning neural-networks novelty-detection out-of-distribution-detection outlier-detection outlier-ensembles outliers python python3 unsupervised-learning

Last synced: 05 Nov 2024

https://github.com/yzhao062/pyod

A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

anomaly anomaly-detection autoencoder data-analysis data-mining data-science deep-learning fraud-detection machine-learning neural-networks novelty-detection out-of-distribution-detection outlier-detection outlier-ensembles outliers python python3 unsupervised-learning

Last synced: 16 Dec 2024

https://github.com/alan-turing-institute/sktime

A unified framework for machine learning with time series

ai anomaly-detection changepoint-detection data-mining data-science forecasting hacktoberfest machine-learning scikit-learn sktime time-series time-series-analysis time-series-classification time-series-regression time-series-segmentation

Last synced: 23 Nov 2024

https://github.com/openvinotoolkit/anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

anomaly-detection anomaly-localization anomaly-segmentation neural-network-compression openvino unsupervised-learning

Last synced: 16 Dec 2024

https://github.com/tdameritrade/stumpy

STUMPY is a powerful and scalable Python library for modern time series analysis

anomaly-detection dask data-science matrix-profile motif-discovery numba pattern-matching pydata python time-series-analysis time-series-data-mining time-series-segmentation

Last synced: 16 Dec 2024

https://github.com/TDAmeritrade/stumpy

STUMPY is a powerful and scalable Python library for modern time series analysis

anomaly-detection dask data-science matrix-profile motif-discovery numba pattern-matching pydata python time-series-analysis time-series-data-mining time-series-segmentation

Last synced: 30 Oct 2024

https://github.com/salesforce/merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

anomaly-detection automl benchmarking ensemble-learning forecasting machine-learning time-series

Last synced: 17 Dec 2024

https://github.com/salesforce/Merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

anomaly-detection automl benchmarking ensemble-learning forecasting machine-learning time-series

Last synced: 30 Oct 2024

https://github.com/curiousily/getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

anomaly-detection bert computer-vision coronavirus deep-learning face-detection face-recognition lstm machine-learning nlp object-detection pytorch sentiment-analysis time-series time-series-anomaly-detection time-series-forecasting transfer-learning transformer tutorial yolo

Last synced: 19 Dec 2024

https://github.com/curiousily/Getting-Things-Done-with-Pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

anomaly-detection bert computer-vision coronavirus deep-learning face-detection face-recognition lstm machine-learning nlp object-detection pytorch sentiment-analysis time-series time-series-anomaly-detection time-series-forecasting transfer-learning transformer tutorial yolo

Last synced: 06 Nov 2024

https://github.com/nixtla/nixtla

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

anomaly-detection artificial-intelligence deep-learning forecasting generative-ai-time-series gpt gpts llm machine-learning time-series time-series-forecasting timegpt

Last synced: 17 Dec 2024

https://github.com/Nixtla/nixtla

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

anomaly-detection artificial-intelligence deep-learning forecasting generative-ai-time-series gpt gpts llm machine-learning time-series time-series-forecasting timegpt

Last synced: 05 Nov 2024

https://nixtla.github.io/nixtla

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

anomaly-detection artificial-intelligence deep-learning forecasting generative-ai-time-series gpt gpts llm machine-learning time-series time-series-forecasting timegpt

Last synced: 22 Sep 2024

https://github.com/aistream-peelout/flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

anomaly-detection deep-learning deep-neural-networks forecasting hacktoberfest lstm pytorch state-of-the-art-models time-series time-series-analysis time-series-forecasting time-series-regression transfer-learning transformer

Last synced: 19 Dec 2024

https://github.com/rubixml/ml

A high-level machine learning and deep learning library for the PHP language.

ai algorithm analytics anomaly-detection artificial-intelligence classification clustering cross-validation data-science deep-learning machine-learning machine-learning-library natural-language-processing neural-network php php-ai php-machine-learning php-ml prediction regression

Last synced: 18 Dec 2024

https://github.com/AIStream-Peelout/flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

anomaly-detection deep-learning deep-neural-networks forecasting hacktoberfest lstm pytorch state-of-the-art-models time-series time-series-analysis time-series-forecasting time-series-regression transfer-learning transformer

Last synced: 02 Nov 2024

https://github.com/axinc-ai/ailia-models

The collection of pre-trained, state-of-the-art AI models for ailia SDK

action-recognition anomaly-detection audio-processing background-removal crowd-counting deep-learning embeddings face-detection face-recognition fashion-ai gan hand-detection image-classification image-segmentation llm neural-network object-detection object-recognition object-tracking pose-estimation

Last synced: 17 Dec 2024

https://github.com/RubixML/ML

A high-level machine learning and deep learning library for the PHP language.

ai algorithm analytics anomaly-detection artificial-intelligence classification clustering cross-validation data-science deep-learning machine-learning machine-learning-library natural-language-processing neural-network php php-ai php-machine-learning php-ml prediction regression

Last synced: 28 Oct 2024

https://github.com/logpai/loghub

A large collection of system log datasets for AI-driven log analytics [ISSRE'23]

anomaly-detection datasets log-analysis log-intelligence log-parsing logs unstructured-logs

Last synced: 04 Dec 2024

https://github.com/tradytics/surpriver

Find big moving stocks before they move using machine learning and anomaly detection

ai algotrading anomaly-detection finance-application investment machine-learning stock stock-analysis trading trading-algorithms

Last synced: 21 Dec 2024

https://github.com/logpai/logparser

A machine learning toolkit for log parsing [ICSE'19, DSN'16]

anomaly-detection benchmark log log-analysis log-mining log-parser log-parsing

Last synced: 19 Dec 2024

https://github.com/datamllab/tods

TODS: An Automated Time-series Outlier Detection System

anomaly-detection automl machine-learning outlier-detection time-series time-series-analysis time-series-anomaly-detection

Last synced: 15 Dec 2024

https://github.com/safe-graph/graph-fraud-detection-papers

A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

academic-publications anomaly-detection awsome-list data-mining data-science dataset deep-learning fraud-detection graph-algorithms graph-convolutional-networks graph-neural-networks machine-learning outlier-detection papers security spam-detection survey

Last synced: 05 Dec 2024

https://github.com/nsoojin/coursera-ml-py

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

andrew-ng-course andrew-ng-machine-learning andrew-ng-ml-course anomaly-detection coursera-machine-learning logistic-regression machine-learning-ex1 neural-network numpy-exercises principal-component-analysis python-ml support-vector-machines

Last synced: 15 Dec 2024

https://github.com/sentinl/sentinl

Kibana Alert & Report App for Elasticsearch

alarm alert alerting anomaly anomaly-detection elastic elasticsearch elk kaae kibana kibana-dashboard kibi pdf plugin reporting scheduler timeseries visualization watchdog watcher

Last synced: 21 Dec 2024

https://github.com/pygod-team/pygod

A Python Library for Graph Outlier Detection (Anomaly Detection)

anomaly-detection deeplearning fraud-detection graph-anomaly-detection graph-neural-networks graphmining machine-learning opensource outlier-detection python pytorch security-tools toolkit

Last synced: 17 Dec 2024

https://github.com/logpai/loglizer

A machine learning toolkit for log-based anomaly detection [ISSRE'16]

aiops anomaly-detection failure-diagnosis log-analysis machine-learning

Last synced: 20 Dec 2024

https://github.com/chickenbestlover/rnn-time-series-anomaly-detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

anomaly-detection forecast neural-network prediction rnn time-series

Last synced: 16 Dec 2024

https://github.com/linkedin/luminol

Anomaly Detection and Correlation library

anomaly-detection anomalydetection

Last synced: 20 Dec 2024

https://github.com/rubenszimbres/repo-2017

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

anomaly-detection autoencoder deep-learning denoising-autoencoders generative-adversarial-network glove keras keras-layer keras-models latent-dirichlet-allocation natural-language-processing nlp opencv resnet-50 segnet sentiment-analysis svm-classifier t-sne variational-autoencoder word2vec

Last synced: 22 Dec 2024

https://github.com/RubensZimbres/Repo-2017

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

anomaly-detection autoencoder deep-learning denoising-autoencoders generative-adversarial-network glove keras keras-layer keras-models latent-dirichlet-allocation natural-language-processing nlp opencv resnet-50 segnet sentiment-analysis svm-classifier t-sne variational-autoencoder word2vec

Last synced: 25 Oct 2024

https://github.com/chickenbestlover/RNN-Time-series-Anomaly-Detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

anomaly-detection forecast neural-network prediction rnn time-series

Last synced: 02 Nov 2024

https://github.com/openvinotoolkit/training_extensions

Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

action-recognition anomaly-detection automl computer-vision datumaro deep-learning hyper-parameter-optimization image-classification image-segmentation incremental-learning machine-learning neural-networks-compression object-detection openvino pytorch quantization self-supervised-learning semi-supervised-learning transfer-learning

Last synced: 17 Dec 2024

https://github.com/arundo/adtk

A Python toolkit for rule-based/unsupervised anomaly detection in time series

anomaly-detection time-series

Last synced: 17 Dec 2024

https://github.com/khundman/telemanom

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

anomaly-detection deep-learning kdd kdd2018 keras lstm rnn tensorflow time-series

Last synced: 15 Dec 2024

https://github.com/sintel-dev/orion

A machine learning library for detecting anomalies in signals.

anomaly-detection benchmarking data-science deep-learning generative-adversarial-network machine-learning orion signals time-series unsupervised-learning

Last synced: 18 Dec 2024

https://github.com/curiousily/deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

anomaly-detection artificial-intelligence autoencoders bert deep-learning image-augmentation intent-recognition jupyter-notebooks keras lstms machine-learning neural-networks object-detection python sentiment-analysis tensorflow tensorflow-tutorial time-series-classification time-series-forecasting

Last synced: 17 Dec 2024

https://github.com/curiousily/Deep-Learning-For-Hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

anomaly-detection artificial-intelligence autoencoders bert deep-learning image-augmentation intent-recognition jupyter-notebooks keras lstms machine-learning neural-networks object-detection python sentiment-analysis tensorflow tensorflow-tutorial time-series-classification time-series-forecasting

Last synced: 13 Nov 2024

https://github.com/sintel-dev/Orion

A machine learning library for detecting anomalies in signals.

anomaly-detection benchmarking data-science deep-learning generative-adversarial-network machine-learning orion signals time-series unsupervised-learning

Last synced: 30 Oct 2024

https://github.com/mentatinnovations/datastream.io

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

alerts anomaly anomaly-detection anomalydetection anomalydiscovery bokeh-dashboard dashboard data-science data-stream datascience dataset dsio elasticsearch iot jupyter kibana machinelearning python sklearn timeseries

Last synced: 18 Dec 2024

https://github.com/MentatInnovations/datastream.io

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

alerts anomaly anomaly-detection anomalydetection anomalydiscovery bokeh-dashboard dashboard data-science data-stream datascience dataset dsio elasticsearch iot jupyter kibana machinelearning python sklearn timeseries

Last synced: 26 Oct 2024

https://github.com/Minqi824/ADBench

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

anomaly-detection benchmark data-mining data-sicence deep-learning ensemble-learning machine-learning neural-networks outlier-detection python semi-supervised-learning supervised-learning unsupervised-learning

Last synced: 06 Nov 2024

https://github.com/jingkang50/openood

Benchmarking Generalized Out-of-Distribution Detection

anomaly-detection novelty-detection open-set-recognition out-of-distribution-detection outlier-detection robustness

Last synced: 20 Dec 2024

https://github.com/Jingkang50/OpenOOD

Benchmarking Generalized Out-of-Distribution Detection

anomaly-detection novelty-detection open-set-recognition out-of-distribution-detection outlier-detection robustness

Last synced: 31 Oct 2024

https://github.com/shubhomoydas/ad_examples

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

active-learning adversarial-attacks anogan anomaly-detection autoencoder concept-drift ensemble-learning explaination gan generative-adversarial-network graph-convolutional-networks interpretability lstm nettack rnn streaming time-series timeseries trees unsuperivsed

Last synced: 27 Oct 2024

https://github.com/lixus7/Time-Series-Works-Conferences

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

accident-detection anomaly-detection deep-learning demand-forecasting location multivariate-timeseries paper-list probabilistic-models spatio-temporal spatio-temporal-data spatio-temporal-modeling spatio-temporal-prediction time-series time-series-forecasting time-series-imputation time-series-prediction traffic-prediction travel-time-prediction

Last synced: 12 Nov 2024

https://github.com/zillow/luminaire

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

anomaly-detection automl forecasting outlier-detection time-series

Last synced: 26 Oct 2024

https://github.com/Stream-AD/MIDAS

Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.

aaai2020 anomaly-detection denial-of-service fraud-detection intrusion-detection

Last synced: 26 Oct 2024

https://github.com/chaos-genius/chaos_genius

ML powered analytics engine for outlier detection and root cause analysis.

ai alert alert-messages analytics anomaly-detection business-intelligence data-visualization dataquality deep-learning hacktoberfest machine-learning ml monitoring monitoring-tool observability outlier-detection python rootcauseanalysis seasonality time-series

Last synced: 30 Oct 2024

https://github.com/safe-graph/dgfraud

A Deep Graph-based Toolbox for Fraud Detection

anomaly-detection datamining datascience dblp-dataset financial-engineering fraud-detection fraud-prevention graph graph-algorithms graph-convolutional-networks graph-neural-networks graphneuralnetwork machine-learning opensource outlier-detection security security-tools spamdetection toolkit yelp-dataset

Last synced: 21 Dec 2024

https://github.com/caoyunkang/Segment-Any-Anomaly

Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".

anomaly-detection foundation zero-shot

Last synced: 27 Oct 2024

https://github.com/thuml/Anomaly-Transformer

About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

anomaly-detection deep-learning time-series

Last synced: 11 Nov 2024

https://github.com/safe-graph/DGFraud

A Deep Graph-based Toolbox for Fraud Detection

anomaly-detection datamining datascience dblp-dataset financial-engineering fraud-detection fraud-prevention graph graph-algorithms graph-convolutional-networks graph-neural-networks graphneuralnetwork machine-learning opensource outlier-detection security security-tools spamdetection toolkit yelp-dataset

Last synced: 02 Nov 2024

https://github.com/project-monai/generativemodels

MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications

anomaly-detection diffusion-models generative-adversarial-network generative-models image-synthesis image-translation medical-imaging monai mri-reconstruction

Last synced: 15 Dec 2024

https://github.com/swwwolf/wdbgark

WinDBG Anti-RootKit Extension

anomaly-detection anti-rootkit c-plus-plus crash-dump debugging-tool driver forensic-analysis kernel-mode malware malware-analysis malware-research memory-forensics sww swwwolf user-mode visual-studio wdbgark windbg windbg-extension windows

Last synced: 26 Oct 2024

https://github.com/spectralpython/spectral

Python module for hyperspectral image processing

anomaly-detection hyperspectral hyperspectral-image-classification image-processing python remote-sensing target-detection visualization

Last synced: 07 Nov 2024

https://github.com/KDD-OpenSource/DeepADoTS

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

anomaly-detection deep-learning pytorch tensorflow time-series timeseries

Last synced: 26 Oct 2024

https://github.com/hendrycks/outlier-exposure

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

anomaly anomaly-detection calibration deep-learning ml-safety out-of-distribution-detection pytorch

Last synced: 15 Dec 2024

https://github.com/earthgecko/skyline

Anomaly detection

anomaly anomaly-detection detection graphite influxdb prometheus python telegraf timeseries timeseries-analysis victoriametrics

Last synced: 26 Oct 2024

https://github.com/baidu/Curve

An Integrated Experimental Platform for time series data anomaly detection.

anomaly-detection labeling monitoring-tool series-data

Last synced: 26 Oct 2024

https://github.com/curiousily/credit-card-fraud-detection-using-autoencoders-in-keras

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

anomaly-detection autoencoders credit-card-fraud deep-learning keras tensorflow tensorflow-tutorial

Last synced: 21 Dec 2024

https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

anomaly-detection autoencoders credit-card-fraud deep-learning keras tensorflow tensorflow-tutorial

Last synced: 25 Oct 2024

https://github.com/Project-MONAI/GenerativeModels

MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications

anomaly-detection diffusion-models generative-adversarial-network generative-models image-synthesis image-translation medical-imaging monai mri-reconstruction

Last synced: 26 Oct 2024

https://github.com/kLabUM/rrcf

🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

anomaly-detection detect-outliers machine-learning outliers python random-forest robust-random-cut-forest streaming-data tree

Last synced: 26 Oct 2024

https://github.com/logpai/drain3

A robust streaming log template miner based on the Drain algorithm

aiops anomaly-detection clustering drain log log-clustering machine-learning observability template-mining

Last synced: 20 Dec 2024

https://github.com/salesforce/logai

LogAI - An open-source library for log analytics and intelligence

ai aiops anomaly-detection benchmarking log-analysis log-intelligence machine-learning python

Last synced: 13 Dec 2024

https://github.com/jingkang50/oodsurvey

The Official Repository for "Generalized OOD Detection: A Survey"

anomaly-detection novelty-detection ood-detection open-set-recognition out-of-distribution-detection outlier-detection

Last synced: 16 Dec 2024

https://github.com/Jingkang50/OODSurvey

The Official Repository for "Generalized OOD Detection: A Survey"

anomaly-detection novelty-detection ood-detection open-set-recognition out-of-distribution-detection outlier-detection

Last synced: 15 Nov 2024

https://github.com/stevenliuwen/ano_pred_cvpr2018

Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018

anomaly-detection video-analysis

Last synced: 20 Dec 2024

https://github.com/ankane/prophet-ruby

Time series forecasting for Ruby

anomaly-detection forecasting

Last synced: 19 Dec 2024

https://github.com/gacwr/openuba

A robust, and flexible open source User & Entity Behavior Analytics (UEBA) framework used for Security Analytics. Developed with luv by Data Scientists & Security Analysts from the Cyber Security Industry. [PRE-ALPHA]

analytics anomaly-detection cybersecurity datascience elasticsearch elk flask information-security machine-learning nodejs react security siem sklearn spark tensorflow threathunting uba ueba user-behaviour

Last synced: 20 Dec 2024

https://github.com/gustavo-iniguez-goya/opensnitch

OpenSnitch is a GNU/Linux application firewall

anomaly-detection application-firewall firewall iptables linux linux-firewall linux-security network-analysis network-monitoring

Last synced: 01 Nov 2024

https://github.com/mims-harvard/units

A unified multi-task time series model.

anomaly-detection classification ecg eeg few-shot forecasting foundation-models imputation multi-task prompt-tuning time-series unified-model zero-shot

Last synced: 02 Nov 2024

https://github.com/yzhao062/SUOD

(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)

anomaly-detection data-mining distributed-systems knowledge-distillation machine-learning machine-learning-algorithms machine-learning-library outlier-detection python

Last synced: 25 Nov 2024

https://github.com/yzhao062/suod

(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)

anomaly-detection data-mining distributed-systems knowledge-distillation machine-learning machine-learning-algorithms machine-learning-library outlier-detection python

Last synced: 15 Dec 2024

https://github.com/wuyifan18/DeepLog

Pytorch Implementation of DeepLog.

anomaly-detection deeplearning pytorch sequence-prediction

Last synced: 05 Nov 2024

https://github.com/chen0040/keras-anomaly-detection

Anomaly detection implemented in Keras

anomaly-detection bidirectonal-lstm convolutional-neural-networks keras lstm recurrent-neural-networks

Last synced: 16 Dec 2024

https://github.com/matrix-profile-foundation/matrixprofile

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

algorithms anomaly-detection clustering data-mining data-science hacktoberfest matrixprofile motif-discovery python python2 python3 segmentation time-series time-series-analysis

Last synced: 15 Dec 2024

https://github.com/jmartinezheras/2018-MachineLearning-Lectures-ESA

Machine Learning Lectures at the European Space Agency (ESA) in 2018

anomaly-detection clustering decision-trees deep-learning lecture-material lecture-slides lecture-videos lectures linear-regression machine-learning machinelearning neural-network pca random-forest support-vector-machines text-mining tf-idf topic-modeling

Last synced: 09 Nov 2024

https://github.com/business-science/anomalize

Tidy anomaly detection

anomaly anomaly-detection decomposition detect-anomalies iqr r-package time-series

Last synced: 15 Dec 2024

https://github.com/hastic-zzz/hastic-server

Hastic data management server for analyzing patterns and anomalies from Grafana

alerting analytics anomaly-detection docker elasticsearch grafana graphite hastic-server influxdb metrics monitor monitoring monitoring-server monitoring-tool pattern-detection pattern-recognition prometheus self-hosted selfhosted timeseries

Last synced: 06 Nov 2024

https://github.com/microsoft/taganomaly

Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)

anomaly-detection labeling-tool r shiny tagging-tool time-series

Last synced: 16 Dec 2024

https://github.com/AICoE/log-anomaly-detector

Log Anomaly Detection - Machine learning to detect abnormal events logs

aiops anomaly-detection artificial-intelligence gensim kubernetes log machine-learning-algorithms som stream-processing word2vec

Last synced: 06 Nov 2024

https://github.com/vc1492a/pynomaly

Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].

anomalies anomaly-detection machine-learning nearest-neighbors outlier-detection outlier-scores outliers probability

Last synced: 20 Dec 2024

https://github.com/vc1492a/PyNomaly

Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].

anomalies anomaly-detection machine-learning nearest-neighbors outlier-detection outlier-scores outliers probability