Anomaly detection related books, papers, videos, and toolboxes

[ICML 2024] Outlier-Efficient Hopfield Layers for Large Transformer-Based Models

Data and code for the experiments in the Outlier Detection task proposed by Camacho-Collados et al.

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

Implementation of Hampel filter in Python, including multiprocessor support, and interactive plotting with plotly and IPywidgets.

Fast and Scalable Outlier Detection with Sorted Hypercubes

Thesis titled "Geospatial Semantic Pattern Recognition in Volunteered Geographic Data Using the Random forest Algorithm" for the degree of Masters of Spatial Analysis at Ryerson University in 2016

Outlier detection using z score

NumPy Practice Repository Dive into the world of numerical computing with our collection of NumPy exercises. Perfect for beginners and seasoned programmers alike, this repository offers a range of challenges to sharpen your array manipulation and data analysis skills.

Exploring anomaly detection using unsupervised methods in scikit-learn

Find duplicates, outliers, clusters and corrupted images in large scale dataset on your local machine quickly.

Python package for anomaly detection techniques (frequency models, naive bayes, bayes classfiers, SVM))

Random Sample Consensus