REPOGEO REPORT · LITE
huytransformer/Awesome-Out-Of-Distribution-Detection
Default branch main · commit 62520224 · scanned 6/20/2026, 8:02:25 PM
GitHub: 1,009 stars · 80 forks
Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface huytransformer/Awesome-Out-Of-Distribution-Detection, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Update the README's main heading to explicitly include 'Awesome List'
Why:
CURRENT# OOD Machine Learning: Detection, Robustness, and Generalization
COPY-PASTE FIX# Awesome OOD Machine Learning: Detection, Robustness, and Generalization
- mediumhomepage#2Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIXhttps://github.com/huytransformer/Awesome-Out-Of-Distribution-Detection
- lowreadme#3Ensure the README's introductory paragraph clearly states it's a 'curated list' or 'collection' of resources
Why:
CURRENTThis repository aims to provide the most comprehensive, up-to-date, high-quality resource for **OOD detection, robustness, and generalization** in Machine Learning/Deep Learning. Your one-stop shop for everything OOD is here.
COPY-PASTE FIXThis **curated list** provides the most comprehensive, up-to-date, high-quality resources for **OOD detection, robustness, and generalization** in Machine Learning/Deep Learning. It's your one-stop shop for everything OOD.
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- OpenMax · recommended 1×
- Deep Open Classifier (DOC) · recommended 1×
- PROSER · recommended 1×
- uncertainty-toolbox · recommended 1×
- DeepProbLog · recommended 1×
- CATEGORY QUERYHow to detect when new data significantly differs from my model's training distribution?you: not recommendedAI recommended (in order):
- OpenMax
- Deep Open Classifier (DOC)
- PROSER
- uncertainty-toolbox
- DeepProbLog
- PyOD
- ADTK
- Mahalanobis Distance
- ODIN
- Energy-based Models (EBMs)
- Variational Autoencoders (VAEs)
- Generative Adversarial Networks (GANs)
- Z-score
- Interquartile Range (IQR)
AI recommended 14 alternatives but never named huytransformer/Awesome-Out-Of-Distribution-Detection. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhere can I find resources for improving machine learning model generalization and robustness?you: not recommendedAI recommended (in order):
- Scikit-Learn
- Keras
- TensorFlow
- Papers With Code
- Kaggle Learn
- Adversarial Robustness Toolbox (ART) (IBM/adversarial-robustness-toolbox)
AI recommended 6 alternatives but never named huytransformer/Awesome-Out-Of-Distribution-Detection. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of huytransformer/Awesome-Out-Of-Distribution-Detection?passAI named huytransformer/Awesome-Out-Of-Distribution-Detection explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts huytransformer/Awesome-Out-Of-Distribution-Detection in production, what risks or prerequisites should they evaluate first?passAI named huytransformer/Awesome-Out-Of-Distribution-Detection explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo huytransformer/Awesome-Out-Of-Distribution-Detection solve, and who is the primary audience?passAI did not name huytransformer/Awesome-Out-Of-Distribution-Detection — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
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huytransformer/Awesome-Out-Of-Distribution-Detection — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite