RRepoGEO

REPOGEO REPORT · LITE

fchollet/keras-resources

Default branch master · commit bdb2bd0c · scanned 5/21/2026, 6:52:38 PM

GitHub: 3,268 stars · 871 forks

Scan history for this repo

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.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
2 / 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 fchollet/keras-resources, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    keras, deep-learning, python, tutorials, examples, resources, machine-learning, neural-networks, tensorflow
  • highreadme#2
    Reposition the README's opening to emphasize its curated and authoritative nature

    Why:

    CURRENT
    # Keras resources

This is a directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library.
    COPY-PASTE FIX
    # Keras Resources: An Official Curated Directory

This is the authoritative, curated directory of high-quality tutorials and open-source code repositories for working with Keras, the Python deep learning library, maintained by Keras creator François Chollet.
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Add a LICENSE file to the repository root with the full text of the MIT License.

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 fchollet/keras-resources
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TensorFlow
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorFlow · recommended 1×
  2. PyTorch · recommended 1×
  3. Keras · recommended 1×
  4. fast.ai · recommended 1×
  5. Towards Data Science · recommended 1×
  • CATEGORY QUERY
    Where can I find tutorials and example code for building neural networks in Python?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow
    2. PyTorch
    3. Keras
    4. fast.ai
    5. Towards Data Science
    6. freeCodeCamp.org
    7. Coursera
    8. edX

    AI recommended 8 alternatives but never named fchollet/keras-resources. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for Python deep learning examples for image classification or natural language processing.
    you: not recommended
    AI recommended (in order):
    1. TensorFlow Tutorials
    2. PyTorch Examples
    3. Keras Examples
    4. Hugging Face Transformers (huggingface/transformers)
    5. fast.ai (fastai/fastai)
    6. DeepLearning.AI Coursera Courses
    7. Machine Learning Mastery

    AI recommended 7 alternatives but never named fchollet/keras-resources. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 fchollet/keras-resources?
    pass
    AI did not name fchollet/keras-resources — 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 fchollet/keras-resources in production, what risks or prerequisites should they evaluate first?
    pass
    AI named fchollet/keras-resources 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 fchollet/keras-resources solve, and who is the primary audience?
    pass
    AI named fchollet/keras-resources explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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fchollet/keras-resources — 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