Deep learning-based outlier/anomaly detection on multivariate data

About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pdf?id=ju_Uqw384Oq

《Hello 算法》一本动画图解、能运行、可提问的数据结构与算法入门书，支持 Java, C++, Python, Go, JS, TS, C#, Swift, Zig 等语言。

A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

模型可解释性一些视频资料

PyTorch implementations of deep reinforcement learning algorithms and environments

时序+GNN，ICLR22

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

2018KPIs比赛的测评方案

dataset

The Numenta Anomaly Benchmark

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

Practical Root Cause Localization for Microservice Systems via Trace Analysis. IWQoS 2021

[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

A log analysis toolkit for automated anomaly detection [ISSRE'16]日志分析统计方法的实现（PCA, LogCluster, and IM等）

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

Drain log template miner in Python3

MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

usad文章的官方源码

A toolkit for automated log parsing [ICSE'19, TDSC'18, DSN'16]

Framework for fast prototyping of Graph Neural Networks

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.

KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

A scikit-learn compatible library for graph kernels

Stanford University CS231n 2016 winter assignments