source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"
☆72Apr 15, 2025Updated 11 months ago
Alternatives and similar repositories for dream-ood
Users that are interested in dream-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:
- source code for ICLR'23 paper "Non-parametric Outlier Synthesis"☆51Oct 1, 2023Updated 2 years ago
- [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"☆11Oct 6, 2023Updated 2 years ago
- ☆16May 25, 2022Updated 3 years ago
- Augmenting with Language-guided Image Augmentation (ALIA)☆79Oct 30, 2023Updated 2 years ago
- The repository of Expanding Small-Scale Datasets with Guided Imagination (NeurIPS 2023).☆79Jan 15, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Create generated datasets and train robust classifiers☆36Sep 1, 2023Updated 2 years ago
- [NeurIPS 2023] "Learning to Augment Distributions for Out-of-distribution Detection"☆11Nov 14, 2023Updated 2 years ago
- The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.☆70Mar 21, 2022Updated 4 years ago
- PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022☆97Mar 12, 2024Updated 2 years ago
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆65Aug 13, 2023Updated 2 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Sep 4, 2023Updated 2 years ago
- Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection☆55Aug 30, 2024Updated last year
- source code for NeurIPS'22 paper "SIREN: Shaping Representations for Detecting Out-of-Distribution Objects"☆33May 13, 2023Updated 2 years ago
- ☆26Mar 17, 2023Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"☆199Jul 12, 2024Updated last year
- source code for ICLR'22 paper "VOS: Learning What You Don’t Know by Virtual Outlier Synthesis"☆322Oct 1, 2023Updated 2 years ago
- CVPR2023:Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection☆26Mar 27, 2023Updated 3 years ago
- Official implementation of "Open-set Label Noise Can Improve Robustness Against Inherent Label Noise" (NeurIPS 2021)☆20Jul 5, 2022Updated 3 years ago
- Out-of-distribution Detection via Generation - NeurIPS 2019☆18Oct 5, 2019Updated 6 years ago
- Official repository for CVPR2023 publication, GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection☆19Sep 25, 2024Updated last year
- ☆15Sep 30, 2024Updated last year
- MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space☆99Jun 28, 2021Updated 4 years ago
- ☆428Aug 28, 2021Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- [WACV'23] Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments☆26Apr 12, 2023Updated 2 years ago
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28May 6, 2023Updated 2 years ago
- LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images☆31Nov 30, 2023Updated 2 years ago
- [ICLR 2024 Spotlight] Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative Communi…☆11Mar 29, 2024Updated last year
- 👽 Out-of-Distribution Detection with PyTorch☆334Jan 19, 2026Updated 2 months ago
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆13Apr 21, 2024Updated last year
- ☆10Jul 4, 2024Updated last year
- [ICLR 2023] The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition☆35Feb 1, 2023Updated 3 years ago
- Top-tier conference papers on out-of-distribution detection☆11Jun 22, 2023Updated 2 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Official Code for Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization (NIPS 2024)☆22Aug 15, 2024Updated last year
- ☆11Jul 31, 2022Updated 3 years ago
- A curated list of papers & resources linked to concept learning☆12Aug 9, 2023Updated 2 years ago
- PyTorch Implementation for InMaP☆11Oct 28, 2023Updated 2 years ago
- ☆10Oct 12, 2021Updated 4 years ago
- [ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"☆13Feb 15, 2025Updated last year
- Code of CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping☆17Oct 8, 2022Updated 3 years ago