anomaly-detection
There are 2009 repositories under anomaly-detection topic.
pycaret/pycaret
An open-source, low-code machine learning library in Python
yzhao062/pyod
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
yzhao062/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
unit8co/darts
A python library for user-friendly forecasting and anomaly detection on time series.
openvinotoolkit/anomalib
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
salesforce/Merlion
Merlion: A Machine Learning Framework for Time Series Intelligence
TDAmeritrade/stumpy
STUMPY is a powerful and scalable Python library for modern time series analysis
rob-med/awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
hoya012/awesome-anomaly-detection
A curated list of awesome anomaly detection resources
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
RubixML/ML
A high-level machine learning and deep learning library for the PHP language.
AIStream-Peelout/flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
axinc-ai/ailia-models
The collection of pre-trained, state-of-the-art AI models for ailia SDK
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 🚀.
tradytics/surpriver
Find big moving stocks before they move using machine learning and anomaly detection
logpai/loghub
A large collection of system log datasets for AI-driven log analytics [ISSRE'23]
linjinjin123/awesome-AIOps
AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star
logpai/logparser
A machine learning toolkit for log parsing [ICSE'19, DSN'16]
nsoojin/coursera-ml-py
Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
sentinl/sentinl
Kibana Alert & Report App for Elasticsearch
safe-graph/graph-fraud-detection-papers
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
datamllab/tods
TODS: An Automated Time-series Outlier Detection System
logpai/loglizer
A machine learning toolkit for log-based anomaly detection [ISSRE'16]
pygod-team/pygod
A Python Library for Graph Outlier Detection (Anomaly Detection)
RubensZimbres/Repo-2017
My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
linkedin/luminol
Anomaly Detection and Correlation library
chickenbestlover/RNN-Time-series-Anomaly-Detection
RNN based Time-series Anomaly detector model implemented in Pytorch.
openvinotoolkit/training_extensions
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
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)。
arundo/adtk
A Python toolkit for rule-based/unsupervised anomaly detection in time series
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)
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.
sintel-dev/Orion
A machine learning library for detecting anomalies in signals.
MentatInnovations/datastream.io
An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
samet-akcay/ganomaly
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
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.