#Awesome#Anomaly detection related books, papers, videos, and toolboxes
#时序数据库#Algorithms for outlier, adversarial and drift detection
#时序数据库#Anomaly detection for streaming time series, featuring automated model selection.
#大语言模型#A multi-agent framework to fully automate anomaly detection in different modalities, tabular, graph, time series, and more (work in progress)!
NETS:Extremely Fast Outlier Detection from a Data Stream via Set-Based Processing
Ultrafast Local Outlier Detection from a Data Stream with Stationary Region Skipping
[ICML 2024] Outlier-Efficient Hopfield Layers for Large Transformer-Based Models
#计算机科学#Outlier detection based on random forest models
Data and code for the experiments in the Outlier Detection task proposed by Camacho-Collados et al.
In the context of Deep Learning: What is the right way to conduct example weighting? How do you understand loss functions and so-called theorems on them?
Add noise to the color or coordinates of the point cloud.
Outliers handling in tidymodels
Probabilistic outlier identification for bulk RNA sequencing data
A collection of free open-source tools to help you better understand your Outlier account, entirely handled in-browser.
State estimation for output with outlier (journal article matlab code) observer, Kalman-filter, Control
Implementation of Hampel filter in Python, including multiprocessor support, and interactive plotting with plotly and IPywidgets.