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out-of-distribution-detection

Here are 172 public repositories matching this topic...

cleanlab / 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.

Updated Jan 13, 2026
Python

yzhao062 / 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.

data-science machine-learning data-mining deep-learning time-series outlier-detection unsupervised-learning fraud-detection anomaly-detection multimodal outlier-ensembles novelty-detection out-of-distribution-detection time-series-anomaly-detection image-anomaly-detection foundation-models graph-anomaly-detection agentic-ai nlp-anomaly-detection

Updated Jul 24, 2026
Python

JavierAntoran / Bayesian-Neural-Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Updated Oct 20, 2023
Jupyter Notebook

gary23ai / awesome_OpenSetRecognition_list

A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

open-source awesome-list open-set open-set-recognition open-word-recognition out-of-distribution-detection open-set-domain-adaptation

Updated Mar 1, 2024

OpenOOD

Jingkang50 / OpenOOD

Benchmarking Generalized Out-of-Distribution Detection

outlier-detection robustness anomaly-detection novelty-detection open-set-recognition out-of-distribution-detection

Updated Dec 1, 2025
Python

huytransformer / Awesome-Out-Of-Distribution-Detection

Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc

awesome open-world outlier-detection anomaly open-set awesome-lists robustness anomaly-detection novelty-detection open-set-recognition out-of-distribution out-of-distribution-detection ood-detection ood-generalization out-of-distribution-generalization open-world-learning ood-robustness distribution-shifts out-of-distribution-robustness

Updated Apr 3, 2026

hendrycks / outlier-exposure

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

deep-learning pytorch calibration anomaly anomaly-detection out-of-distribution-detection ml-safety

Updated Oct 9, 2021
Python

Jingkang50 / OODSurvey

The Official Repository for "Generalized OOD Detection: A Survey"

outlier-detection anomaly-detection novelty-detection open-set-recognition out-of-distribution-detection ood-detection

Updated Oct 9, 2022
Jupyter Notebook

mala-lab / ADBenchmarks-anomaly-detection-datasets

ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.

dataset outlier-detection anomaly-detection novelty-detection video-anomaly-detection out-of-distribution-detection time-series-anomaly-detection unsupervised-anomaly-detection image-anomaly-detection graph-anomaly-detection semi-supervised-anomaly-detection weakly-supervised-anomaly-detection

Updated Oct 1, 2025

alinlab / CSI

CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)

anomaly-detection novelty-detection out-of-distribution-detection contrastive-learning

Updated Oct 19, 2023
Python

hendrycks / ss-ood

Self-Supervised Learning for OOD Detection (NeurIPS 2019)

uncertainty robustness self-supervised self-supervised-learning out-of-distribution-detection ml-safety

Updated Apr 29, 2021
Python

gary23ai / ARPL

[TPAMI 2022] Adversarial Reciprocal Points Learning for Open Set Recognition

openset open-set-recognition out-of-distribution-detection openset-classification openset-recognition

Updated Jun 30, 2023
Python

shuolucs / Awesome-Out-Of-Distribution-Detection

[ACM CSUR 2025] Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances

awesome survey outlier-detection clip novelty-detection open-set-recognition out-of-distribution-detection open-world-detection llm mllm anomly-detection

Updated Jan 2, 2026

hendrycks / anomaly-seg

The Combined Anomalous Object Segmentation (CAOS) Benchmark

segmentation anomaly-detection carla-simulator out-of-distribution-detection ml-safety

Updated Feb 2, 2023
Python

MengyuanChen21 / ICLR2024-REDL

[ICLR 2024 Spotlight] R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning

uncertainty-quantification out-of-distribution-detection evidential-deep-learning ood-detection iclr2024

Updated Nov 18, 2024
Python

thuiar / OKD-Reading-List

Papers for Open Knowledge Discovery

machine-learning natural-language-processing computer-vision natural-language-understanding open-set-recognition out-of-distribution-detection intent-discovery open-world-classification deep-clustering out-of-domain-detection

Updated Dec 21, 2023
TeX

ashafaei / out-of-distribution-detection

The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks

deep-learning anomaly-detection out-of-distribution-detection

Updated Dec 31, 2019

nikitadurasov / masksembles

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

computer-vision deep-learning tensorflow paper torch uncertainty-neural-networks uncertainty-quantification uncertainty-estimation out-of-distribution-detection

Updated Nov 9, 2025
Python

hendrycks / pre-training

Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)

uncertainty calibration robustness adversarial-examples pretrained data-corruption out-of-distribution-detection ml-safety

Updated Mar 1, 2022
Python

deeplearning-wisc / MCM

PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022

representation-learning out-of-distribution-detection vision-language contrastive-learning

Updated Mar 12, 2024
Python

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