RRepoGEO

REPOGEO REPORT · LITE

THUDM/INFTY

Default branch main · commit c29ca088 · scanned 6/14/2026, 8:56:17 AM

GitHub: 572 stars · 10 forks

AI VISIBILITY SCORE
35 /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
3 / 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 THUDM/INFTY, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Strengthen the opening sentence of the README to clarify core problem

    Why:

    CURRENT
    Wecome to **INFTY**, a flexible and user-friendly optimization engine tailored for Continual AI (*existing libraries treat optimizers as defaults configuration*).
    COPY-PASTE FIX
    **INFTY** is a flexible and user-friendly optimization engine specifically designed to solve core challenges in Continual AI, such as catastrophic forgetting, the stability–plasticity dilemma, and generalization.
  • mediumhomepage#2
    Add the project documentation URL as the repository homepage

    Why:

    COPY-PASTE FIX
    https://INFTY-AI.github.io/doc/

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 THUDM/INFTY
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Elastic Weight Consolidation (EWC)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Elastic Weight Consolidation (EWC) · recommended 1×
  2. Synaptic Intelligence (SI) · recommended 1×
  3. Learning without Forgetting (LwF) · recommended 1×
  4. Gradient Episodic Memory (GEM) · recommended 1×
  5. Averaged Gradient Episodic Memory (A-GEM) · recommended 1×
  • CATEGORY QUERY
    How can I mitigate catastrophic forgetting and improve generalization in my continual learning models?
    you: not recommended
    AI recommended (in order):
    1. Elastic Weight Consolidation (EWC)
    2. Synaptic Intelligence (SI)
    3. Learning without Forgetting (LwF)
    4. Gradient Episodic Memory (GEM)
    5. Averaged Gradient Episodic Memory (A-GEM)
    6. Experience Replay
    7. PyTorch Continual Learning (Pytorch-CL) (ContinualAI/pytorch-continual-learning)
    8. Avalanche (ContinualAI/avalanche)
    9. Progressive Neural Networks (PNNs)

    AI recommended 9 alternatives but never named THUDM/INFTY. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What optimization toolkits are available for developing robust continual AI systems?
    you: not recommended
    AI recommended (in order):
    1. PyTorch Lightning
    2. Optuna
    3. Ray Tune
    4. TensorFlow Extended (TFX)
    5. Accelerate
    6. JAX
    7. Flax
    8. Optax
    9. OpenML

    AI recommended 9 alternatives but never named THUDM/INFTY. 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 THUDM/INFTY?
    pass
    AI named THUDM/INFTY explicitly

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

  • If a team adopts THUDM/INFTY in production, what risks or prerequisites should they evaluate first?
    pass
    AI named THUDM/INFTY 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 THUDM/INFTY solve, and who is the primary audience?
    pass
    AI named THUDM/INFTY explicitly

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

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THUDM/INFTY — 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