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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.

adversarial_autoencoder

A wizard's guide to Adversarial Autoencoders

aiops-handbook

Collection of slides, repositories, papers about AIOps

aiopstools

The fundamental package for AIops with python.

alsr

anomalydetection

GitHub repository for the code that accompanies the master thesis project: 'Detecting univariate anomalies in multivariate web analytics time series'.

curve

An Integrated Experimental Platform for time series data anomaly detection.

deepadots

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

dews

A framework for timeseries anlysics

donut

Donut is an anomaly detection algorithm for seasonal KPIs.

efficient-gan-anomaly-detection

encoding_temporal_markov_dynamics_in_graph_for_visualizing_and_mining_time_series

exp-anomaly-detector

The design of a time series anomaly detector through RNN and RL.

exp-anomaly-detector-aiops

Using DNN for univariate time series anomaly detection over AIOps Competition dataset

gan_ad-ts

基于生成对抗网络的时间序列异常检测

ganomaly

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

ganomaly-tensorflow

A tensorflow implement for ganomaly

gendis

Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.

gfsad

Genaral and fast supervised anomaly detection for KPI data 通用快速的基于监督学习的KPI异常探测

imbalance-xgboost

XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions

lstm-anomaly-detect

Example code for neural-network-based anomaly detection of time-series data (uses LSTM)

metis

Metis is a learnware platform in the field of AIOps.

multidimensional_root_cause_analysis

基于蒙特卡洛树（MCTS）的多维监控异常根因分析

mwdn

my_ganomaly

omnianomaly

opprentice

rnn-time-series-anomaly-detection

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

spot

SPOT algorithm implementation (with variants)

taro-ui-demo

非 Taro UI 官网示例代码