anomaly-detection
There are 2851 repositories under anomaly-detection topic.
pycaret/pycaret
An open-source, low-code machine learning library in Python
yzhao062/pyod
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
sktime/sktime
A unified framework for machine learning with time series
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.
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.
salesforce/Merlion
Merlion: A Machine Learning Framework for Time Series Intelligence
stumpy-dev/stumpy
STUMPY is a powerful and scalable Python library for modern time series analysis
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 🚀.
rob-med/awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
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)。
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
logpai/loghub
A large collection of system log datasets for AI-driven log analytics [ISSRE'23]
axinc-ai/ailia-models
The collection of pre-trained, state-of-the-art AI models for ailia SDK
AIStream-Peelout/flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
RubixML/ML
A high-level machine learning and deep learning library for the PHP language.
logpai/logparser
A machine learning toolkit for log parsing [ICSE'19, DSN'16]
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
tradytics/surpriver
Find big moving stocks before they move using machine learning and anomaly detection
safe-graph/graph-fraud-detection-papers
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
linjinjin123/awesome-AIOps
AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star
datamllab/tods
TODS: An Automated Time-series Outlier Detection System
pygod-team/pygod
A Python Library for Graph Outlier Detection (Anomaly Detection)
nsoojin/coursera-ml-py
Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
logpai/loglizer
A machine learning toolkit for log-based anomaly detection [ISSRE'16]
sentinl/sentinl
Kibana Alert & Report App for Elasticsearch
sintel-dev/Orion
Unsupervised time series anomaly detection library
chickenbestlover/RNN-Time-series-Anomaly-Detection
RNN based Time-series Anomaly detector model implemented in Pytorch.
linkedin/luminol
Anomaly Detection and Correlation library
open-edge-platform/training_extensions
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
RubensZimbres/Repo-2017
My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
arundo/adtk
A Python toolkit for rule-based/unsupervised anomaly detection in time series
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.
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)
Jingkang50/OpenOOD
Benchmarking Generalized Out-of-Distribution Detection