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Search results for deep learning out of distribution detection

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15 search results found

A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

Bayesian Neural Networks ⭐ 1,633

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

Awesome Out Of Distribution Detection ⭐ 400

A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization

Outlier Exposure ⭐ 378

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

Masksembles ⭐ 90

Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR2021).

Out Of Distribution Detection ⭐ 74

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

Entropic Out Of Distribution Detection ⭐ 47

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.

Ood Detection Using Oecc ⭐ 45

Outlier Exposure with Confidence Control for Out-of-Distribution Detection

Graphood Gnnsafe ⭐ 42

The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"

Distinction Maximization Loss ⭐ 34

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.

Localizable Rotation ⭐ 21

Official PyTorch Repository of "Tailoring Self-Supervision for Supervised Learning" (ECCV 2022 Paper)

Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"

Heatmap_ood ⭐ 10

Heatmap-based Out-of-Distribution Detection (WACV 2023)

Robust Deep Learning ⭐ 9

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.

Abstention Ood ⭐ 5

Supplementary Python code for our Out-Of-Distribution paper

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