out-of-distribution-detection
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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.
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Nov 10, 2025 - Python
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
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Oct 26, 2025 - Python
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
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Oct 20, 2023 - Jupyter Notebook
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
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Mar 1, 2024
Benchmarking Generalized Out-of-Distribution Detection
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Aug 10, 2025 - Python
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
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Nov 5, 2025
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
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Oct 9, 2021 - Python
The Official Repository for "Generalized OOD Detection: A Survey"
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Oct 9, 2022 - Jupyter Notebook
ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.
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Oct 1, 2025
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)
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Oct 19, 2023 - Python
Self-Supervised Learning for OOD Detection (NeurIPS 2019)
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Apr 29, 2021 - Python
[TPAMI 2022] Adversarial Reciprocal Points Learning for Open Set Recognition
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Jun 30, 2023 - Python
The Combined Anomalous Object Segmentation (CAOS) Benchmark
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Feb 2, 2023 - Python
[ACM CSUR 2025] Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances
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Aug 20, 2025
Papers for Open Knowledge Discovery
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Dec 21, 2023 - TeX
The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks
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Dec 31, 2019
Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).
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Nov 9, 2025 - Python
Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
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Mar 1, 2022 - Python
PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022
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Mar 12, 2024 - Python
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.
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Feb 7, 2024
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