out-of-distribution-detection
There are 137 repositories under out-of-distribution-detection 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.
yzhao062/pyod
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
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
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
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)
iCGY96/ARPL
[TPAMI 2022] Adversarial Reciprocal Points Learning for Open Set Recognition
hendrycks/anomaly-seg
The Combined Anomalous Object Segmentation (CAOS) Benchmark
thuiar/OKD-Reading-List
Papers for Open Knowledge Discovery
ashafaei/out-of-distribution-detection
The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks
nikitadurasov/masksembles
Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).
hendrycks/pre-training
Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
deeplearning-wisc/MCM
PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022
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.
qitianwu/GraphOOD-GNNSafe
The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
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.
megvii-research/FSSD_OoD_Detection
[SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.
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
Jingkang50/ICCV21_SCOOD
The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.
NazirNayal8/RbA
Official code for RbA: Segmenting Unknown Regions Rejected by All (ICCV 2023)
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".
camelop/NLP-Robustness
OOD Generalization and Detection (ACL 2020)
deel-ai/oodeel
Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.
deeplearning-wisc/cider
PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023
shyam671/Mask2Anomaly-Unmasking-Anomalies-in-Road-Scene-Segmentation
[ICCV'23 Oral] Unmasking Anomalies in Road-Scene Segmentation
YutingLi0606/SURE
“SURE: SUrvey REcipes for building reliable and robust deep networks” (CVPR 2024) & (ECCV 2024 OOD-CV Challenge Winner)
miniHuiHui/awesome-out-of-distribution-detection
Paper of out of distribution detection and generalization
alinlab/MASKER
MASKER: Masked Keyword Regularization for Reliable Text Classification (AAAI 2021)
mala-lab/NegPrompt
The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"