RRepoGEO

REPOGEO REPORT · LITE

lucidrains/alphafold2

Default branch main · commit 931466e4 · scanned 5/28/2026, 11:07:00 PM

GitHub: 1,633 stars · 266 forks

AI VISIBILITY SCORE
62 /100
Needs work
Category recall
1 / 2
Avg rank #1.0 when recommended
Rule findings
1 pass · 1 warn · 0 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 lucidrains/alphafold2, 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 current purpose as the PyTorch translation in README opening

    Why:

    CURRENT
    To eventually become an unofficial working Pytorch implementation of Alphafold2, the breathtaking attention network that solved CASP14. Will be gradually implemented as more details of the architecture is released. Once this is replicated, I intend to fold all available amino acid sequences out there in-silico and release it as an academic torrent, to further science. If you are interested in replication efforts, please drop by #alphafold at this Discord channel Update: Deepmind has open sourced the official code in Jax, along with the weights 🙏! This repository will now be geared towards a straight pytorch translation with some improvements on positional encoding
    COPY-PASTE FIX
    This repository provides a straight PyTorch translation of DeepMind's AlphaFold2, with improvements on positional encoding, making the groundbreaking protein structure prediction model accessible to the PyTorch ecosystem.
  • mediumabout#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/lucidrains/alphafold2
  • lowtopics#3
    Add 'pytorch' and 'protein-structure-prediction' to repository topics

    Why:

    CURRENT
    artificial-intelligence, attention-mechanism, deep-learning, protein-folding
    COPY-PASTE FIX
    artificial-intelligence, attention-mechanism, deep-learning, protein-folding, pytorch, protein-structure-prediction

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
1 / 2
50% of queries surface lucidrains/alphafold2
Avg rank
#1.0
Lower is better. #1 = top recommendation.
Share of voice
8%
Of all named tools, what % are you?
Top rival
OpenFold
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenFold · recommended 2×
  2. RoseTTAFold · recommended 2×
  3. ESMFold · recommended 2×
  4. OmegaFold · recommended 1×
  5. AlphaFold · recommended 1×
  • CATEGORY QUERY
    How can I use deep learning to predict protein structures from amino acid sequences?
    you: #1
    AI recommended (in order):
    1. AlphaFold2 ← you
    2. OpenFold
    3. RoseTTAFold
    4. ESMFold
    5. OmegaFold
    6. AlphaFold
    7. trRosetta
    Show full AI answer
  • CATEGORY QUERY
    Looking for a PyTorch-based solution for protein structure prediction using attention mechanisms.
    you: not recommended
    AI recommended (in order):
    1. OpenFold
    2. ESMFold
    3. RoseTTAFold
    4. DeepMind's AlphaFold
    5. TrRosetta

    AI recommended 5 alternatives but never named lucidrains/alphafold2. 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 lucidrains/alphafold2?
    pass
    AI did not name lucidrains/alphafold2 — 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 lucidrains/alphafold2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named lucidrains/alphafold2 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 lucidrains/alphafold2 solve, and who is the primary audience?
    pass
    AI named lucidrains/alphafold2 explicitly

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

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lucidrains/alphafold2 — 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