RRepoGEO

REPOGEO REPORT · LITE

johnmarktaylor91/torchlens

Default branch main · commit 727d91b3 · scanned 6/20/2026, 11:32:01 AM

GitHub: 641 stars · 28 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 johnmarktaylor91/torchlens, 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 the repository

    Why:

    COPY-PASTE FIX
    pytorch, deep-learning, debugging, visualization, neural-networks, activations, gradients, model-observability, model-interpretation, mlops, intervention
  • highreadme#2
    Strengthen the README's opening to emphasize comprehensive model observability and intervention

    Why:

    CURRENT
    **See, save, and steer any PyTorch model.** TorchLens captures every activation and gradient -- across the forward and backward pass -- auto-visualizes the full computational graph, exposes rich per-op metadata, and lets you intervene on the network as it runs.
    COPY-PASTE FIX
    **TorchLens: The comprehensive PyTorch model observability and intervention toolkit.** Capture every activation and gradient — forward and backward — auto-visualize the full computational graph, expose rich per-op metadata, and perform live interventions on any PyTorch model, even dynamic and recurrent ones. Go beyond simple visualization to truly understand, debug, and steer your neural networks.
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://github.com/johnmarktaylor91/torchlens

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 johnmarktaylor91/torchlens
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
tensorflow/tensorboard
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. tensorflow/tensorboard · recommended 1×
  2. lutzroeder/netron · recommended 1×
  3. pytorch/captum · recommended 1×
  4. szagoruyko/pytorchviz · recommended 1×
  5. hiddenlayer/hiddenlayer · recommended 1×
  • CATEGORY QUERY
    Need a way to visualize PyTorch model's internal activations and computational flow.
    you: not recommended
    AI recommended (in order):
    1. TensorBoard (tensorflow/tensorboard)
    2. Netron (lutzroeder/netron)
    3. Captum (pytorch/captum)
    4. PyTorchViz (szagoruyko/pytorchviz)
    5. HiddenLayer (hiddenlayer/hiddenlayer)
    6. Lobe

    AI recommended 6 alternatives but never named johnmarktaylor91/torchlens. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to capture and analyze gradients and activations in complex PyTorch neural networks?
    you: not recommended
    AI recommended (in order):
    1. PyTorch built-in hooks
    2. matplotlib
    3. seaborn
    4. TensorBoard
    5. Captum
    6. PyTorch Lightning
    7. Weights & Biases (W&B)
    8. DeepView
    9. NumPy
    10. SciPy

    AI recommended 10 alternatives but never named johnmarktaylor91/torchlens. 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 johnmarktaylor91/torchlens?
    pass
    AI named johnmarktaylor91/torchlens explicitly

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

  • If a team adopts johnmarktaylor91/torchlens in production, what risks or prerequisites should they evaluate first?
    pass
    AI named johnmarktaylor91/torchlens 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 johnmarktaylor91/torchlens solve, and who is the primary audience?
    pass
    AI named johnmarktaylor91/torchlens explicitly

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

Embed your GEO score

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johnmarktaylor91/torchlens — 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