RRepoGEO

REPOGEO REPORT · LITE

huawei-noah/HEBO

Default branch master · commit ee6112d3 · scanned 5/21/2026, 5:18:10 AM

GitHub: 2,767 stars · 468 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
30 /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
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 huawei-noah/HEBO, 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 for Bayesian Optimization and Reinforcement Learning

    Why:

    COPY-PASTE FIX
    bayesian-optimization, reinforcement-learning, machine-learning, deep-learning, optimization, ai-research, python, huawei-noah-ark-lab
  • highlicense#2
    Add a LICENSE file to clarify usage terms

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the chosen license text (e.g., Apache-2.0, MIT, or a custom Huawei license if applicable).
  • mediumhomepage#3
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    Set the repository homepage URL to a relevant project page, documentation site, or the Huawei Noah's Ark Lab research 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 huawei-noah/HEBO
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
SheffieldML/GPyOpt
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. SheffieldML/GPyOpt · recommended 1×
  2. pytorch/botorch · recommended 1×
  3. scikit-optimize/scikit-optimize · recommended 1×
  4. hyperopt/hyperopt · recommended 1×
  5. HIPS/Spearmint · recommended 1×
  • CATEGORY QUERY
    What are the best Python libraries for efficient Bayesian optimization of model parameters?
    you: not recommended
    AI recommended (in order):
    1. GPyOpt (SheffieldML/GPyOpt)
    2. BoTorch (pytorch/botorch)
    3. scikit-optimize (skopt) (scikit-optimize/scikit-optimize)
    4. Hyperopt (hyperopt/hyperopt)
    5. Spearmint (HIPS/Spearmint)
    6. Optuna (optuna/optuna)

    AI recommended 6 alternatives but never named huawei-noah/HEBO. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a research-focused library for reinforcement learning and generative model development.
    you: not recommended
    AI recommended (in order):
    1. PyTorch-Lightning
    2. RLlib
    3. Hugging Face Transformers
    4. Stable Baselines3
    5. DeepMind's Acme
    6. TensorFlow Agents (TF-Agents)

    AI recommended 6 alternatives but never named huawei-noah/HEBO. 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 huawei-noah/HEBO?
    pass
    AI named huawei-noah/HEBO explicitly

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

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

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

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huawei-noah/HEBO — 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