anomaly-detection

There are 171 repositories under anomaly-detection topic.

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
Language:Jupyter Notebook 9581
yzhao062 / pyod
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
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
Language:Python 9567
sktime
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
Language:Python 9329
yzhao062 / anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
anomaly-detection awesome awesome-list data-mining fraud fraud-detection graph-neural-networks machine-learning outlier outlier-detection outlier-ensembles time-series-analysis unsupervised-learning
Language:Python 9011
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
Language:Python 9005
open-edge-platform / 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 geti neural-network-compression openvino unsupervised-learning
Language:Python 5106
salesforce / Merlion
Merlion: A Machine Learning Framework for Time Series Intelligence
anomaly-detection automl benchmarking ensemble-learning forecasting machine-learning time-series
Language:Python 4441
stumpy-dev / 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
Language:Python 4012
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 🚀.
agent agentic-ai anomaly-detection artificial-intelligence deep-learning forecasting foundation-models generative-ai-time-series gpt gpts llm llms time-series time-series-forecasting timegpt
Language:Jupyter Notebook 3506
rob-med / awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
anomaly-detection awesome-list data-analysis data-mining machine-learning outlier-detection temporal-data time-series
3133
M-3LAB / awesome-industrial-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)。
anomaly-detection anomaly-segmentation deep-learning defect-detection industrial-image computer-vision dataset
2936
hoya012 / awesome-anomaly-detection
A curated list of awesome anomaly detection resources
awesome-anomaly-detection awesome anomaly-detection anomalydetection anomaly deep-learning awesomeanomalydetection machine-learning machinelearning
2848
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
pytorch deep-learning machine-learning computer-vision object-detection face-detection face-recognition time-series time-series-forecasting coronavirus tutorial lstm anomaly-detection time-series-anomaly-detection bert sentiment-analysis transformer nlp transfer-learning yolo
Language:Jupyter Notebook 2464
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
2391
axinc-ai / ailia-models
The collection of pre-trained, state-of-the-art AI models for ailia SDK
deep-learning face-recognition face-detection object-detection object-recognition hand-detection fashion-ai image-classification pose-estimation image-segmentation object-tracking anomaly-detection action-recognition background-removal audio-processing crowd-counting gan neural-network embeddings llm
Language:Python 2276
flow-forecast
AIStream-Peelout / flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
deep-learning pytorch time-series-forecasting time-series transfer-learning deep-neural-networks transformer forecasting lstm time-series-regression state-of-the-art-models anomaly-detection time-series-analysis hacktoberfest
Language:Python 2255
RubixML / ML
A high-level machine learning and deep learning library for the PHP language.
analytics anomaly-detection classification clustering deep-learning machine-learning natural-language-processing php regression
Language:PHP 2170
logpai / logparser
A machine learning toolkit for log parsing [ICSE'19, DSN'16]
log log-mining log-analysis log-parser log-parsing anomaly-detection benchmark
Language:Python 1864
PyPOTS
WenjieDu / PyPOTS
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values
time-series data-mining deep-learning missing-values anomaly-detection classification clustering forecasting generation imputation machine-learning pytorch data-analysis data-science neural-networks
Language:Python 1860
tradytics / surpriver
Find big moving stocks before they move using machine learning and anomaly detection
machine-learning finance-application trading trading-algorithms algotrading anomaly-detection ai investment stock-analysis stock
Language:Python 1831
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
1704
linjinjin123 / awesome-AIOps
AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star
aiops root-cause-analysis time-series-analysis machine-learning deep-learning alarm-reduction anomaly-detection
1700
datamllab / tods
TODS: An Automated Time-series Outlier Detection System
outlier-detection automl anomaly-detection machine-learning time-series time-series-anomaly-detection time-series-analysis
Language:Python 1627
pygod
pygod-team / pygod
A Python Library for Graph Outlier Detection (Anomaly Detection)
outlier-detection anomaly-detection graph-anomaly-detection machine-learning security-tools opensource deeplearning python graphmining pytorch graph-neural-networks fraud-detection toolkit
Language:Python 1458
nsoojin / coursera-ml-py
Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
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 anomaly-detection python-ml
Language:Python 1428
logpai / loglizer
A machine learning toolkit for log-based anomaly detection [ISSRE'16]
log-analysis anomaly-detection failure-diagnosis machine-learning aiops
Language:Jupyter Notebook 1379
sentinl / sentinl
Kibana Alert & Report App for Elasticsearch
alert elasticsearch kibana reporting alerting scheduler kibi watchdog kibana-dashboard visualization watcher elk anomaly timeseries kaae pdf anomaly-detection plugin elastic alarm
Language:JavaScript 1329
sintel-dev / Orion
Unsupervised time series anomaly detection library
anomaly-detection benchmarking data-science deep-learning generative-adversarial-network machine-learning orion signals time-series unsupervised-learning
Language:Python 1322
chickenbestlover / RNN-Time-series-Anomaly-Detection
RNN based Time-series Anomaly detector model implemented in Pytorch.
rnn neural-network anomaly-detection time-series prediction forecast
Language:Python 1289
linkedin / luminol
Anomaly Detection and Correlation library
anomaly-detection anomalydetection
Language:Python 1225
open-edge-platform / training_extensions
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
openvino computer-vision deep-learning pytorch neural-networks-compression quantization hyper-parameter-optimization image-classification image-segmentation object-detection self-supervised-learning semi-supervised-learning transfer-learning action-recognition anomaly-detection datumaro automl machine-learning incremental-learning geti
Language:Python 1203
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
Language:Python 1192
arundo / adtk
A Python toolkit for rule-based/unsupervised anomaly detection in time series
anomaly-detection time-series
Language:Python 1181
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.
deep-learning lstm time-series keras tensorflow kdd2018 kdd rnn anomaly-detection
Language:Jupyter Notebook 1120
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)
deep-learning tensorflow machine-learning artificial-intelligence python keras neural-networks jupyter-notebooks tensorflow-tutorial lstms autoencoders object-detection image-augmentation time-series-forecasting time-series-classification anomaly-detection sentiment-analysis intent-recognition bert
Language:Jupyter Notebook 1059
OpenOOD
Jingkang50 / OpenOOD
Benchmarking Generalized Out-of-Distribution Detection
out-of-distribution-detection anomaly-detection open-set-recognition novelty-detection outlier-detection robustness
Language:Python 1004