Topic: anomaly-detection Goto Github

👇 Here are 1923 public repositories matching this topic...

aapatel09 / handson-unsupervised-learning
anomaly-detection,Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
User: aapatel09
unsupervised-learning machine-learning clustering anomaly-detection autoencoders generative-adversarial-network artificial-intelligence deep-learning

aistream-peelout / flow-forecast
anomaly-detection,Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Organization: aistream-peelout
Home Page: https://flow-forecast.atlassian.net/wiki/spaces/FF/overview
deep-learning pytorch time-series-forecasting time-series transfer-learning deep-neural-networks transformer forecasting lstm time-series-regression

arundo / adtk
anomaly-detection,A Python toolkit for rule-based/unsupervised anomaly detection in time series
Organization: arundo
Home Page: https://adtk.readthedocs.io
anomaly-detection time-series

axinc-ai / ailia-models
anomaly-detection,The collection of pre-trained, state-of-the-art AI models for ailia SDK
Organization: axinc-ai
deep-learning machine-learning face-recognition face-detection object-detection object-recognition hand-detection fashion-ai image-classification pose-estimation

caoyunkang / segment-any-anomaly
anomaly-detection,Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".
User: caoyunkang
anomaly-detection foundation zero-shot

chaos-genius / chaos_genius
anomaly-detection,ML powered analytics engine for outlier detection and root cause analysis.
Organization: chaos-genius
Home Page: https://www.chaosgenius.io
anomaly-detection business-intelligence analytics machine-learning observability rootcauseanalysis monitoring-tool data-visualization dataquality monitoring

chickenbestlover / rnn-time-series-anomaly-detection
anomaly-detection,RNN based Time-series Anomaly detector model implemented in Pytorch.
User: chickenbestlover
rnn neural-network anomaly-detection time-series prediction forecast

curiousily / deep-learning-for-hackers
anomaly-detection,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)
User: curiousily
Home Page: https://www.mlexpert.io/bootcamp
deep-learning tensorflow machine-learning artificial-intelligence python keras neural-networks jupyter-notebooks tensorflow-tutorial lstms

curiousily / getting-things-done-with-pytorch
anomaly-detection,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
User: curiousily
Home Page: https://www.mlexpert.io/bootcamp
pytorch deep-learning machine-learning computer-vision object-detection face-detection face-recognition time-series time-series-forecasting coronavirus

datamllab / tods
anomaly-detection,TODS: An Automated Time-series Outlier Detection System
Organization: datamllab
Home Page: http://tods-doc.github.io
outlier-detection automl anomaly-detection machine-learning time-series time-series-anomaly-detection time-series-analysis

hoya012 / awesome-anomaly-detection
anomaly-detection,A curated list of awesome anomaly detection resources
User: hoya012
awesome-anomaly-detection awesome anomaly-detection anomalydetection anomaly deep-learning awesomeanomalydetection machine-learning machinelearning

jingkang50 / openood
anomaly-detection,Benchmarking Generalized Out-of-Distribution Detection
User: jingkang50
out-of-distribution-detection anomaly-detection open-set-recognition novelty-detection outlier-detection robustness

kdd-opensource / deepadots
anomaly-detection,Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
Organization: kdd-opensource
anomaly-detection time-series timeseries deep-learning tensorflow pytorch

khundman / telemanom
anomaly-detection,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.
User: khundman
Home Page: https://arxiv.org/abs/1802.04431
deep-learning lstm time-series keras tensorflow kdd2018 kdd rnn anomaly-detection

linjinjin123 / awesome-aiops
anomaly-detection,AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star
User: linjinjin123
aiops alarm-reduction anomaly-detection deep-learning machine-learning root-cause-analysis time-series-analysis

linkedin / luminol
anomaly-detection,Anomaly Detection and Correlation library
Organization: linkedin
anomaly-detection anomalydetection

lixus7 / time-series-works-conferences
anomaly-detection,Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
User: lixus7
time-series deep-learning spatio-temporal paper-list traffic-prediction spatio-temporal-prediction spatio-temporal-data spatio-temporal-modeling location travel-time-prediction

logpai / loghub
anomaly-detection,A large collection of system log datasets for AI-driven log analytics [ISSRE'23]
Organization: logpai
logs unstructured-logs log-analysis log-parsing datasets anomaly-detection log-intelligence

logpai / loglizer
anomaly-detection,A machine learning toolkit for log-based anomaly detection [ISSRE'16]
Organization: logpai
log-analysis anomaly-detection failure-diagnosis machine-learning aiops

logpai / logparser
anomaly-detection,A machine learning toolkit for log parsing [ICSE'19, DSN'16]
Organization: logpai
log log-mining log-analysis log-parser log-parsing anomaly-detection benchmark

lukasruff / deep-svdd-pytorch
anomaly-detection,A PyTorch implementation of the Deep SVDD anomaly detection method
User: lukasruff
anomaly-detection deep-anomaly-detection deep-learning icml-2018 machine-learning one-class-learning python pytorch

m-3lab / awesome-industrial-anomaly-detection
anomaly-detection,Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。
Organization: m-3lab
anomaly-detection anomaly-segmentation deep-learning defect-detection industrial-image computer-vision dataset

mentatinnovations / datastream.io
anomaly-detection,An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
Organization: mentatinnovations
anomaly kibana elasticsearch data-stream python dashboard jupyter bokeh-dashboard dataset iot

minqi824 / adbench
anomaly-detection,Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
User: minqi824
anomaly-detection benchmark data-mining deep-learning machine-learning outlier-detection semi-supervised-learning supervised-learning unsupervised-learning data-sicence

nixtla / nixtla
anomaly-detection,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 🚀.
Organization: nixtla
Home Page: https://docs.nixtla.io
time-series time-series-forecasting machine-learning deep-learning forecasting gpt generative-ai-time-series timegpt anomaly-detection artificial-intelligence gpts llm

nsoojin / coursera-ml-py
anomaly-detection,Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
User: nsoojin
andrew-ng-course andrew-ng-ml-course coursera-machine-learning andrew-ng-machine-learning numpy-exercises machine-learning-ex1 neural-network support-vector-machines principal-component-analysis logistic-regression

openvinotoolkit / anomalib
anomaly-detection,An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Organization: openvinotoolkit
Home Page: https://anomalib.readthedocs.io/en/latest/
anomaly-localization anomaly-segmentation anomaly-detection unsupervised-learning neural-network-compression openvino

openvinotoolkit / training_extensions
anomaly-detection,Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
Organization: openvinotoolkit
Home Page: https://openvinotoolkit.github.io/training_extensions/
openvino computer-vision deep-learning pytorch neural-networks-compression quantization hyper-parameter-optimization image-classification image-segmentation object-detection

pycaret / pycaret
anomaly-detection,An open-source, low-code machine learning library in Python
Organization: pycaret
Home Page: https://www.pycaret.org
data-science citizen-data-scientists python machine-learning pycaret ml gpu time-series regression classification

pygod-team / pygod
anomaly-detection,A Python Library for Graph Outlier Detection (Anomaly Detection)
Organization: pygod-team
Home Page: https://pygod.org
outlier-detection anomaly-detection graph-anomaly-detection machine-learning security-tools opensource deeplearning python graphmining pytorch graph-neural-networks fraud-detection toolkit

rob-med / awesome-ts-anomaly-detection
anomaly-detection,List of tools & datasets for anomaly detection on time-series data.
User: rob-med
anomaly-detection awesome-list outlier-detection machine-learning data-mining data-analysis time-series temporal-data

rubenszimbres / repo-2017
anomaly-detection,My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
User: rubenszimbres
anomaly-detection deep-learning autoencoder keras keras-models denoising-autoencoders generative-adversarial-network glove keras-layer word2vec

rubixml / ml
anomaly-detection,A high-level machine learning and deep learning library for the PHP language.
Organization: rubixml
Home Page: https://rubixml.com
machine-learning data-science neural-network analytics php classification clustering regression anomaly-detection deep-learning

safe-graph / dgfraud
anomaly-detection,A Deep Graph-based Toolbox for Fraud Detection
Organization: safe-graph
fraud-detection fraud-prevention anomaly-detection graph-algorithms graphneuralnetwork machine-learning opensource toolkit datamining datascience

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

salesforce / merlion
anomaly-detection,Merlion: A Machine Learning Framework for Time Series Intelligence
Organization: salesforce
time-series anomaly-detection forecasting machine-learning benchmarking automl ensemble-learning

samet-akcay / ganomaly
anomaly-detection,GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
User: samet-akcay
anomaly-detection gan pytorch semi-supervised-learning

sentinl / sentinl
anomaly-detection,Kibana Alert & Report App for Elasticsearch
Organization: sentinl
Home Page: https://qxip.net
alert elasticsearch kibana reporting alerting scheduler kibi watchdog kibana-dashboard visualization watcher elk anomaly timeseries kaae pdf anomaly-detection plugin elastic alarm

shubhomoydas / ad_examples
anomaly-detection,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.
User: shubhomoydas
ensemble-learning active-learning anomaly-detection rnn lstm explaination interpretability time-series timeseries trees

sintel-dev / orion
anomaly-detection,A machine learning library for detecting anomalies in signals.
Organization: sintel-dev
Home Page: https://sintel.dev/Orion/
anomaly-detection deep-learning machine-learning time-series benchmarking signals unsupervised-learning orion data-science generative-adversarial-network

spectralpython / spectral
anomaly-detection,Python module for hyperspectral image processing
Organization: spectralpython
anomaly-detection hyperspectral hyperspectral-image-classification image-processing python remote-sensing target-detection visualization

stream-ad / midas
anomaly-detection,Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.
Organization: stream-ad
anomaly-detection fraud-detection denial-of-service intrusion-detection aaai2020

swwwolf / wdbgark
anomaly-detection,WinDBG Anti-RootKit Extension
User: swwwolf
Home Page: https://sww-it.ru
kernel-mode c-plus-plus malware malware-analysis malware-research forensic-analysis windbg windbg-extension anti-rootkit windows

tdameritrade / stumpy
anomaly-detection,STUMPY is a powerful and scalable Python library for modern time series analysis
Organization: tdameritrade
Home Page: https://stumpy.readthedocs.io/en/latest/
data-science time-series-analysis dask numba python anomaly-detection pattern-matching pydata matrix-profile motif-discovery

thuml / anomaly-transformer
anomaly-detection,About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
Organization: thuml
anomaly-detection deep-learning time-series

tradytics / surpriver
anomaly-detection,Find big moving stocks before they move using machine learning and anomaly detection
User: tradytics
Home Page: https://www.tradytics.com/
machine-learning finance-application trading trading-algorithms algotrading anomaly-detection ai investment stock-analysis stock

unit8co / darts
anomaly-detection,A python library for user-friendly forecasting and anomaly detection on time series.
Organization: unit8co
Home Page: https://unit8co.github.io/darts/
python time-series forecasting machine-learning deep-learning anomaly-detection data-science

yzhao062 / anomaly-detection-resources
anomaly-detection,Anomaly detection related books, papers, videos, and toolboxes
User: yzhao062
outlier-detection anomaly-detection outlier outlier-ensembles time-series-analysis data-mining awesome awesome-list unsupervised-learning fraud

yzhao062 / pyod
anomaly-detection,A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
User: yzhao062
Home Page: http://pyod.readthedocs.io
outlier-detection anomaly-detection outlier-ensembles outliers anomaly python machine-learning data-mining unsupervised-learning python3

zillow / luminaire
anomaly-detection,Luminaire is a python package that provides ML driven solutions for monitoring time series data.
Organization: zillow
Home Page: https://zillow.github.io/luminaire
automl anomaly-detection outlier-detection forecasting time-series