DeepRiver
DeepRiver: A Deep Learning Library for Data Streams - Published in JOSS (2025)
molic
molic: An R package for multivariate outlier detection in contingency tables - Published in JOSS (2019)
wbacon
wbacon: Weighted BACON algorithms for multivariate outlier nomination (detection) and robust linear regression - Published in JOSS (2021)
OUTRIDER
OUTRIDER: OUTlier in RNA-seq fInDER is an R-based framework to find aberrantly expressed genes in RNA-seq data
PyNomaly
PyNomaly: Anomaly detection using Local Outlier Probabilities (LoOP). - Published in JOSS (2018)
minisom
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
https://github.com/yzhao062/pyod
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
com.linkedin.isolation-forest
A distributed Spark/Scala implementation of the isolation forest algorithm for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference.
https://github.com/zillow/luminaire
Luminaire is a python package that provides ML driven solutions for monitoring time series data.
visualqc
VisualQC : assistive tool to ease the quality control workflow of neuroimaging data.
geothermal_esda
This repository contains exploratory spatial data analysis (ESDA) functions and scripts. These functions are designed for geothermal spatial datasets, and are applicable to other spatial datasets.
https://github.com/baggepinnen/matrixprofile.jl
Time-series analysis using the Matrix profile in Julia
https://github.com/devparihar5/outlyzer
Outlyzer is a Python library for outlier detection that offers various methods for identifying and visualizing outliers in datasets.
detect-clip-backdoor-samples
[ICLR2025] Detecting Backdoor Samples in Contrastive Language Image Pretraining
robust-outlier-rejection
Robust Chauvenet Outlier Rejection: RCR is advanced, but easy to use, outlier rejection.
https://github.com/cn-tu/py-outlier-detection-stream-data
Outlier Detection in Stream Data with Python. CN contact: Félix Iglesias
https://github.com/aswendt-lab/aidaqc
An automated and simple tool for fast quality analysis of animal MRI
https://github.com/amr-yasser226/intrusion-detection-kaggle
End-to-end pipeline for multi-class cyber-attack detection using per-flow network features: data profiling, deduplication, skew-correction, outlier treatment, feature engineering, imbalance handling, and tree-based modeling (XGBoost, LightGBM, CatBoost, stacking), with a final Kaggle submission scoring 0.9146 public / 0.9163 private.
streamad
Online anomaly detection for data streams/ Real-time anomaly detection for time series data.