RRepoGEO

REPOGEO REPORT · LITE

hussius/deeplearning-biology

Default branch master · commit 4dfa98a5 · scanned 7/1/2026, 12:08:50 PM

GitHub: 2,148 stars · 486 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
  • highreadme#1
    Clarify repository's identity as a curated list in README intro

    Why:

    CURRENT
    This is a list of implementations of deep learning methods to biology, originally published on Follow the Data.
    COPY-PASTE FIX
    This is a comprehensive, curated list of deep learning implementations and applications in biology, originally published on Follow the Data. It serves as a central resource for researchers and practitioners exploring the intersection of deep learning and biological sciences.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    deep-learning, biology, bioinformatics, genomics, protein-biology, computational-biology, machine-learning, curated-list, research-resources, ai-in-biology
  • highlicense#3
    Add a LICENSE file to clarify usage rights

    Why:

    COPY-PASTE FIX
    Add a `LICENSE` file (e.g., `MIT License`) to the repository root. Additionally, add a line to the README, for example: `## License\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.`

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. DeepVariant · recommended 2×
  3. CellProfiler · recommended 1×
  4. DeepLabCut · recommended 1×
  5. StarDist · recommended 1×
  • CATEGORY QUERY
    What are common deep learning applications and implementations in biological research?
    you: not recommended
    AI recommended (in order):
    1. CellProfiler
    2. DeepLabCut
    3. StarDist
    4. Cellpose
    5. PyTorch
    6. TensorFlow
    7. QuPath
    8. Arivis Vision4D
    9. Imaris
    10. AlphaFold2
    11. RoseTTAFold
    12. DeepVariant
    13. DeepBind
    14. DeepSEA
    15. OpenFold
    16. DGL (Deep Graph Library)
    17. DeepChem
    18. RDKit
    19. Schrödinger
    20. Maestro
    21. FEP+
    22. PyTorch Geometric
    23. MolGAN
    24. REINVENT
    25. scVI (single-cell Variational Inference)
    26. DCA (Deep Count Autoencoder)
    27. SAILER
    28. scDeepCluster
    29. Scanpy
    30. Seurat

    AI recommended 30 alternatives but never named hussius/deeplearning-biology. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a comprehensive list of deep learning models for genomics and protein biology.
    you: not recommended
    AI recommended (in order):
    1. AlphaFold2
    2. AlphaFold3
    3. AlphaMissense
    4. Enformer
    5. Basenji2
    6. DeepVariant
    7. ESM
    8. ESM-2
    9. ProtTrans
    10. BioNeMo
    11. DiffDock
    12. EquiBind

    AI recommended 12 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?

Embed your GEO score

Drop this badge into the README of hussius/deeplearning-biology. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/hussius/deeplearning-biology.svg)](https://repogeo.com/en/r/hussius/deeplearning-biology)
HTML
<a href="https://repogeo.com/en/r/hussius/deeplearning-biology"><img src="https://repogeo.com/badge/hussius/deeplearning-biology.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

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