RRepoGEO

REPOGEO REPORT · LITE

openai/improved-gan

Default branch master · commit 4f5d1ec5 · scanned 5/16/2026, 12:57:30 AM

GitHub: 2,335 stars · 618 forks

AI VISIBILITY SCORE
28 /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
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 openai/improved-gan, 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
  • highlicense#1
    Add a LICENSE file to the repository root

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the text of the MIT License.
  • mediumreadme#2
    Enhance README opening to highlight the paper's contribution

    Why:

    CURRENT
    **Status:** Archive (code is provided as-is, no updates expected)

# improved-gan
code for the paper "Improved Techniques for Training GANs"
    COPY-PASTE FIX
    This repository contains the original code for the paper "Improved Techniques for Training GANs", which introduced key advancements for stabilizing GAN training and generating higher quality samples. **Status:** Archive (code is provided as-is, no updates expected, uses Theano/Lasagne).

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 openai/improved-gan
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Wasserstein GAN (WGAN)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Wasserstein GAN (WGAN) · recommended 1×
  2. WGAN-GP · recommended 1×
  3. Spectral Normalization (SN-GAN) · recommended 1×
  4. Self-Attention Generative Adversarial Networks (SAGAN) · recommended 1×
  5. BigGAN · recommended 1×
  • CATEGORY QUERY
    What are effective methods for stabilizing the training of generative adversarial networks?
    you: not recommended
    AI recommended (in order):
    1. Wasserstein GAN (WGAN)
    2. WGAN-GP
    3. Spectral Normalization (SN-GAN)
    4. Self-Attention Generative Adversarial Networks (SAGAN)
    5. BigGAN
    6. Conditional GANs (cGANs)
    7. Auxiliary Classifier GANs (AC-GANs)
    8. Progressive Growing of GANs (PGGAN)
    9. StyleGAN
    10. StyleGAN2
    11. StyleGAN3

    AI recommended 11 alternatives but never named openai/improved-gan. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find reference implementations for generative models on common image datasets?
    you: not recommended
    AI recommended (in order):
    1. PyTorch Examples
    2. TensorFlow Models
    3. Hugging Face Diffusers Library
    4. Keras Examples
    5. GitHub
    6. Awesome-GAN
    7. Awesome-VAE

    AI recommended 7 alternatives but never named openai/improved-gan. 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 openai/improved-gan?
    pass
    AI named openai/improved-gan explicitly

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

  • If a team adopts openai/improved-gan in production, what risks or prerequisites should they evaluate first?
    pass
    AI named openai/improved-gan 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 openai/improved-gan solve, and who is the primary audience?
    pass
    AI did not name openai/improved-gan — 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

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openai/improved-gan — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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openai/improved-gan — RepoGEO report