Out Of Distribution Detection Python Packages

pyod

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

cleanlab

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

dataeval

Python library for analyzing data quality and its impact on model performance across classification and object-detection tasks.

dataeval-plots

Python library for analyzing data quality and its impact on model performance across classification and object-detection tasks.

detectors

Python package to accelerate research on generalized out-of-distribution (OOD) detection.

daml

Python library for analyzing data quality and its impact on model performance across classification and object-detection tasks.

example-package-elisno

The standard package for data-centric AI, machine learning with label errors, and automatically finding and fixing dataset issues in Python.

robust-deep-learning

A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.

masksembles

Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).

incerto

A library for uncertainty quantification in machine learning