RRepoGEO

REPOGEO REPORT · LITE

artix41/awesome-transfer-learning

Default branch master · commit ae740955 · scanned 5/10/2026, 7:58:23 PM

GitHub: 1,775 stars · 308 forks

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

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 artix41/awesome-transfer-learning, 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.

OVERALL DIRECTION
  • highreadme#1
    Clarify the README's opening to emphasize it's a curated list of external resources

    Why:

    CURRENT
    A list of awesome papers and cool resources on transfer learning, domain adaptation and domain-to-domain translation in general!
    COPY-PASTE FIX
    This is a curated awesome list of external papers, tutorials, and datasets for transfer learning, domain adaptation, and domain-to-domain translation.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT License) in the repository root to clarify usage rights.
  • mediumhomepage#3
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    Set the repository homepage to `https://github.com/artix41/awesome-transfer-learning`.

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.

Recall
0 / 2
0% of queries surface artix41/awesome-transfer-learning
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Coursera's Deep Learning Specialization by Andrew Ng
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Coursera's Deep Learning Specialization by Andrew Ng · recommended 1×
  2. fast.ai's Practical Deep Learning for Coders · recommended 1×
  3. fastai library · recommended 1×
  4. TensorFlow Transfer Learning Guide · recommended 1×
  5. TensorFlow Hub · recommended 1×
  • CATEGORY QUERY
    Where can I find comprehensive resources on transfer learning techniques and applications?
    you: not recommended
    AI recommended (in order):
    1. Coursera's Deep Learning Specialization by Andrew Ng
    2. fast.ai's Practical Deep Learning for Coders
    3. fastai library
    4. TensorFlow Transfer Learning Guide
    5. TensorFlow Hub
    6. PyTorch Transfer Learning Tutorial
    7. torchvision.models
    8. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
    9. Papers With Code

    AI recommended 9 alternatives but never named artix41/awesome-transfer-learning. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best papers and tutorials for unsupervised domain adaptation methods?
    you: not recommended
    AI recommended (in order):
    1. DANN
    2. ADDA
    3. Noisy Student
    4. PyTorch
    5. Awesome Domain Adaptation

    AI recommended 5 alternatives but never named artix41/awesome-transfer-learning. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

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 artix41/awesome-transfer-learning?
    pass
    AI did not name artix41/awesome-transfer-learning — 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 artix41/awesome-transfer-learning in production, what risks or prerequisites should they evaluate first?
    pass
    AI named artix41/awesome-transfer-learning 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 artix41/awesome-transfer-learning solve, and who is the primary audience?
    pass
    AI did not name artix41/awesome-transfer-learning — 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?

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artix41/awesome-transfer-learning — 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