REPOGEO REPORT · LITE
floodsung/Meta-Learning-Papers
Default branch master · commit dbc9b185 · scanned 5/23/2026, 3:48:00 PM
GitHub: 2,654 stars · 474 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 floodsung/Meta-Learning-Papers, 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#1Reposition README to clarify it's a paper collection, not a software library
Why:
CURRENTThe README currently starts with "## Meta Learning/ Learning to Learn/ One Shot Learning/ Lifelong Learning\n\n### 1 Legacy Papers"
COPY-PASTE FIXAdd a clear introductory sentence at the very beginning of the README, e.g., "This repository is a comprehensive, curated collection of research papers on Meta Learning, Learning to Learn, One Shot Learning, Few Shot Learning, and Lifelong Learning. It serves as a central resource for academics and researchers to explore foundational concepts and recent advancements in the field."
- highlicense#2Add a LICENSE file to the repository
Why:
COPY-PASTE FIXCreate a `LICENSE` file in the repository root, for example, using the MIT License or a Creative Commons license (e.g., CC-BY-4.0) if the content is primarily a collection of papers.
- mediumhomepage#3Add a homepage URL to the repository settings
Why:
COPY-PASTE FIXIn the repository settings, add a homepage URL. If there's no external project site, use the GitHub repository URL itself (e.g., `https://github.com/floodsung/Meta-Learning-Papers`) to provide a consistent entry point.
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.
- huggingface/transformers · recommended 1×
- huggingface/peft · recommended 1×
- OpenAI API · recommended 1×
- facebookresearch/llama · recommended 1×
- pytorch/pytorch · recommended 1×
- CATEGORY QUERYHow can I implement models that learn new tasks quickly with minimal data?you: not recommendedAI recommended (in order):
- Hugging Face Transformers (huggingface/transformers)
- Hugging Face PEFT library (huggingface/peft)
- OpenAI API
- Meta's Llama 2 (facebookresearch/llama)
- PyTorch (pytorch/pytorch)
- TensorFlow (tensorflow/tensorflow)
- Keras (keras-team/keras)
- Fast.ai (fastai/fastai)
AI recommended 8 alternatives but never named floodsung/Meta-Learning-Papers. This is the gap to close.
Show full AI answer
- CATEGORY QUERYI need resources to understand the foundational concepts and latest advancements in meta-learning.you: not recommendedAI recommended (in order):
- MAML
- Meta-Learner LSTM
- Reptile
AI recommended 3 alternatives but never named floodsung/Meta-Learning-Papers. 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 floodsung/Meta-Learning-Papers?passAI did not name floodsung/Meta-Learning-Papers — 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?
- If a team adopts floodsung/Meta-Learning-Papers in production, what risks or prerequisites should they evaluate first?passAI named floodsung/Meta-Learning-Papers 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 floodsung/Meta-Learning-Papers solve, and who is the primary audience?passAI did not name floodsung/Meta-Learning-Papers — 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
Drop this badge into the README of floodsung/Meta-Learning-Papers. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
Live preview[](https://repogeo.com/en/r/floodsung/Meta-Learning-Papers)<a href="https://repogeo.com/en/r/floodsung/Meta-Learning-Papers"><img src="https://repogeo.com/badge/floodsung/Meta-Learning-Papers.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
floodsung/Meta-Learning-Papers — 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