Projects in Awesome Lists tagged with ood-detection
A curated list of projects in awesome lists tagged with ood-detection .
https://github.com/jingkang50/oodsurvey
The Official Repository for "Generalized OOD Detection: A Survey"
anomaly-detection novelty-detection ood-detection open-set-recognition out-of-distribution-detection outlier-detection
Last synced: 05 Apr 2025
https://github.com/Jingkang50/OODSurvey
The Official Repository for "Generalized OOD Detection: A Survey"
anomaly-detection novelty-detection ood-detection open-set-recognition out-of-distribution-detection outlier-detection
Last synced: 08 May 2025
https://github.com/kkirchheim/pytorch-ood
👽 Out-of-Distribution Detection with PyTorch
anomaly-detection confidence-estimation deep-learning neural-network novelty-detection ood-detection open-set-recognition pytorch
Last synced: 28 Mar 2025
https://github.com/ldkong1205/RoboDepth
[NeurIPS 2023] RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
autonomous-driving depth-estimation ood-detection robustness
Last synced: 28 Mar 2025
https://github.com/jingkang50/iccv21_scood
The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.
computer-vision model-robustness ood ood-detection out-of-distribution out-of-distribution-detection
Last synced: 21 Mar 2025
https://github.com/sayakpaul/generalized-odin-tf
TensorFlow 2 implementation of the paper Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data (https://arxiv.org/abs/2002.11297).
keras ood-detection robustness tensorflow2 vision
Last synced: 30 Apr 2025
https://github.com/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.
ai-safety anomaly-detection classification deep-learning machine-learning novelty-detection ood ood-detection open-set open-set-recognition osr out-of-distribution out-of-distribution-detection pytorch robust-machine-learning trustworthy-ai trustworthy-machine-learning uncertainty-estimation
Last synced: 05 Apr 2025
https://github.com/Lingkai-Kong/Calibrated-BERT-Fine-Tuning
Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data
bert calibration deep-learning language-model nlp nlp-machine-learning ood-detection open-world-classification robustness text-classification uncertainty-estimation uncertainty-quantification
Last synced: 06 May 2025
https://github.com/linhaowei1/tpl
✌[ICLR 2024] Class Incremental Learning via Likelihood Ratio Based Task Prediction
class-incremental-learning continual-learning likelihood-ratio-test ood-detection
Last synced: 03 Dec 2024
https://github.com/dlmacedo/robust-deep-learning
A project to 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.
anomaly-detection classification deep-learning deep-neural-networks machine-learning novelty-detection ood-detection open-set open-set-recognition out-of-distribution out-of-distribution-detection pytorch robust-deep-learning robust-machine-learning trustworthy-ai trustworthy-machine-learning uncertainty-calibration uncertainty-estimation uncertainty-neural-networks
Last synced: 05 Apr 2025
https://github.com/cure-lab/diffguard
[ICCV 2023] The official implementation of paper "DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models"
deep-learning diffusion-models iccv2023 ood-detection pytorch
Last synced: 12 Apr 2025
https://github.com/kaleidophon/know-your-limits
Repository for UAI 2021 paper "Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fail at Reliable OOD Detection".
neural-networks ood ood-detection relu uncertainty-estimation
Last synced: 07 May 2025
https://github.com/glhr/ood-labelnoise
"A noisy elephant in the room: Is your out-of-distribution detector robust to label noise?" (CVPR 2024)
aleatoric-uncertainty image-classification label-noise noisy-labels ood-detection open-set-recognition out-of-distribution-detection
Last synced: 28 Mar 2025
https://github.com/linhaowei1/flats
[EMNLP 2023] FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score
language-model likelihood-ratio-test llm machine-learning nlp nlp-machine-learning ood-detection
Last synced: 25 Mar 2025
https://github.com/zjysteven/sio
Official PyTorch implementation for "SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection"
novelty-detection ood-detection open-set-recognition out-of-distribution-detection
Last synced: 31 Mar 2025
https://github.com/kitsuyaazuma/dsflplus
The implementation of DS-FL+ (Energy-based Knowledge Distillation for Communication-Efficient Federated Learning, IEICE 2024 student poster session).
federated-learning fedlab knowledge-distillation ood-detection pytorch
Last synced: 07 May 2025
https://github.com/jahongir7174/robin
OOD-CV dataset converter to COCO format
Last synced: 12 Mar 2025
https://github.com/giovancombo/deeplearningapps
A repo containing all the material from the Laboratory Sessions of the Deep Learning Applications course, held by Professor Andrew David Bagdanov (@bagdanov on GitHub) at the University of Florence, Italy.
bert class-activation-maps cnn computer-vision deep-q-learning deep-reinforcement-learning explainable-ai gpt large-language-models nlp ood-detection ppo resnet text-classification text-generation
Last synced: 24 Mar 2025
