π½ Out-of-Distribution Detection with PyTorch
β346Aug 3, 2026Updated last week
Alternatives and similar repositories for pytorch-ood
Users that are interested in pytorch-ood are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, booβ¦β1,018Apr 3, 2026Updated 4 months ago
- Paper of out of distribution detection and generalizationβ57Aug 23, 2023Updated 2 years ago
- Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"β42Sep 28, 2022Updated 3 years ago
- source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"β71Apr 15, 2025Updated last year
- [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"β18Jul 7, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform β’ AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- The Official Repository for "Generalized OOD Detection: A Survey"β460Oct 9, 2022Updated 3 years ago
- PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022β99Mar 12, 2024Updated 2 years ago
- β439Aug 28, 2021Updated 4 years ago
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022β28May 6, 2023Updated 3 years ago
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023β66Aug 13, 2023Updated 3 years ago
- Official code for paper "OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning"β13Jun 19, 2024Updated 2 years ago
- Official repository for CVPR2022 publication, ViM: Out-Of-Distribution with Virtual-logit Matchingβ93Sep 18, 2023Updated 2 years ago
- A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recogβ¦β1,207Mar 1, 2024Updated 2 years ago
- Code for Class Anchor Clustering loss for training a distance-based open set classifierβ78Nov 3, 2022Updated 3 years ago
- Open source password manager - Proton Pass β’ AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detectionβ56Aug 30, 2024Updated last year
- source code for ICLR'23 paper "Non-parametric Outlier Synthesis"β52Oct 1, 2023Updated 2 years ago
- LINe: Out-of-Distribution Detection by Leveraging Important Neurons (CVPR 2023)β13Jun 13, 2023Updated 3 years ago
- β18Dec 4, 2021Updated 4 years ago
- [TPAMI 2022] Adversarial Reciprocal Points Learning for Open Set Recognitionβ200Jun 30, 2023Updated 3 years ago
- [WACV'23] Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environmentsβ26Apr 12, 2023Updated 3 years ago
- source code for ICLR'24 paper "How does unlabeled data provably help OOD detection?"β14Feb 1, 2024Updated 2 years ago
- β46Sep 22, 2021Updated 4 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertaintyβ150Jun 2, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer β’ AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- β10Jul 16, 2025Updated last year
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networksβ234Dec 27, 2018Updated 7 years ago
- β12Jul 21, 2022Updated 4 years ago
- A simple and effective method for detecting out-of-distribution images in neural networks.β546Oct 12, 2021Updated 4 years ago
- The code is used to solve structural reliability analysis problem via the BSC_RLCB methodβ15Nov 19, 2021Updated 4 years ago
- Metrics for out-of-distribution (OOD) detection performance evaluationβ51Jan 13, 2025Updated last year
- On the Importance of Gradients for Detecting Distributional Shifts in the Wildβ56Aug 3, 2022Updated 4 years ago
- MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Spaceβ101Jun 28, 2021Updated 5 years ago
- β16Sep 10, 2023Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available β’ AdRun AI, ML, and HPC workloads on powerful cloud GPUsβwithout limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020β51May 11, 2021Updated 5 years ago
- incremental symbol learning for natural language understandingβ10Jun 12, 2023Updated 3 years ago
- Deep anomaly detection with scale learningβ12May 26, 2023Updated 3 years ago
- official implementation of RoSAS: Deep Semi-supervised Anomaly Detection with Contamination-resilient Continuous Supervisionβ12Jul 18, 2023Updated 3 years ago
- source code for ICLR'22 paper "VOS: Learning What You Donβt Know by Virtual Outlier Synthesis"β326Oct 1, 2023Updated 2 years ago
- Implementation of Open-Set Likelihood Maximization for Few-Shot Learningβ42Jul 5, 2023Updated 3 years ago
- [ ICCV'2025 Poster ] SecDOOD is a secure cloud-device collaboration framework for efficient on-device OOD detection without requiring deβ¦β15Oct 10, 2025Updated 10 months ago