RRepoGEO

REPOGEO REPORT · LITE

hussius/deeplearning-biology

Default branch master · commit 4dfa98a5 · scanned 5/20/2026, 1:53:04 AM

GitHub: 2,140 stars · 487 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 hussius/deeplearning-biology, 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 improve categorization

    Why:

    COPY-PASTE FIX
    deep-learning, biology, bioinformatics, genomics, protein-structure-prediction, drug-discovery, awesome-list, curated-list
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Choose and add a standard open-source license file (e.g., MIT, Apache-2.0, GPL-3.0) to the repository root.
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Set the repository homepage URL to the original publication source or a relevant project page.

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 hussius/deeplearning-biology
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AlphaFold2
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. AlphaFold2 · recommended 2×
  2. Awesome Deep Learning in Biology · recommended 1×
  3. Awesome Bioinformatics · recommended 1×
  4. Awesome Biomedical Imaging · recommended 1×
  5. Bioinformatics · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive list of deep learning implementations for biological research?
    you: not recommended
    AI recommended (in order):
    1. Awesome Deep Learning in Biology
    2. Awesome Bioinformatics
    3. Awesome Biomedical Imaging
    4. Bioinformatics
    5. Nature Methods
    6. Nature Biotechnology
    7. Cell Systems
    8. bioRxiv
    9. arXiv
    10. Google Scholar
    11. PubMed
    12. OmicTools
    13. AlphaFold
    14. AlphaFold2
    15. Open Targets Platform
    16. ISMB
    17. RECOMB
    18. NeurIPS
    19. ICML
    20. ICLR

    AI recommended 20 alternatives but never named hussius/deeplearning-biology. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What deep learning models are available for genomics data analysis and protein structure prediction?
    you: not recommended
    AI recommended (in order):
    1. AlphaFold2
    2. AlphaFold3
    3. ESMFold
    4. ESM-2
    5. DeepVariant
    6. Enformer
    7. HybPiper
    8. PyTorch Geometric
    9. RDKit
    10. DeeperBind

    AI recommended 10 alternatives but never named hussius/deeplearning-biology. 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 hussius/deeplearning-biology?
    pass
    AI named hussius/deeplearning-biology explicitly

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

  • If a team adopts hussius/deeplearning-biology in production, what risks or prerequisites should they evaluate first?
    pass
    AI named hussius/deeplearning-biology 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 hussius/deeplearning-biology solve, and who is the primary audience?
    pass
    AI did not name hussius/deeplearning-biology — 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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hussius/deeplearning-biology — 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