out-of-distribution-detection
There are 116 repositories under out-of-distribution-detection topic.
cleanlab/cleanlab
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
yzhao062/pyod
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
iCGY96/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
Jingkang50/OpenOOD
Benchmarking Generalized Out-of-Distribution Detection
huytransformer/Awesome-Out-Of-Distribution-Detection
A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization
hendrycks/outlier-exposure
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
Jingkang50/OODSurvey
The Official Repository for "Generalized OOD Detection: A Survey"
GuansongPang/ADRepository-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.
alinlab/CSI
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)
hendrycks/ss-ood
Self-Supervised Learning for OOD Detection (NeurIPS 2019)
hendrycks/anomaly-seg
The Combined Anomalous Object Segmentation (CAOS) Benchmark
iCGY96/ARPL
[TPAMI 2021] Adversarial Reciprocal Points Learning for Open Set Recognition
ashafaei/out-of-distribution-detection
The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks
thuiar/OKD-Reading-List
Papers for Open Knowledge Discovery
hendrycks/pre-training
Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
nikitadurasov/masksembles
Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).
megvii-research/FSSD_OoD_Detection
Feature Space Singularity for Out-of-Distribution Detection. (SafeAI 2021)
dlmacedo/entropic-out-of-distribution-detection
A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Perform efficient inferences (i.e., do not increase inference time) and detection without classification accuracy drop, hyperparameter tuning, or collecting additional data.
conditionWang/FLNK
Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems to reduce costs, extend their lifespan, and facilitate sustainable development.
iCGY96/APR
[ICCV 2021] Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain
thuiar/Adaptive-Decision-Boundary
Deep Open Intent Classification with Adaptive Decision Boundary (AAAI 2021)
nazim1021/OOD-detection-using-OECC
Outlier Exposure with Confidence Control for Out-of-Distribution Detection
qitianwu/GraphOOD-GNNSafe
The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
Jingkang50/ICCV21_SCOOD
The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.
deeplearning-wisc/MCM
PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022
camelop/NLP-Robustness
OOD Generalization and Detection (ACL 2020)
taslimisina/osr-ood-ad-methods
This is the official repository for the paper "A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges".
alinlab/MASKER
MASKER: Masked Keyword Regularization for Reliable Text Classification (AAAI 2021)
miniHuiHui/awesome-out-of-distribution-detection
Paper of out of distribution detection and generalization
deeplearning-wisc/cider
PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023
deel-ai/oodeel
Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.
NazirNayal8/RbA
Official code for RbA: Segmenting Unknown Regions Rejected by All (ICCV 2023)
dlmacedo/distinction-maximization-loss
A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in your project! Perform efficient inferences (i.e., do not increase inference time) without repetitive model training, hyperparameter tuning, or collecting additional data.
Impression2805/Awesome-Failure-Detection
A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)
ENSTA-U2IS-AI/LDU
Latent Discriminant deterministic Uncertainty [ECCV2022]