RRepoGEO

REPOGEO REPORT · LITE

podgorskiy/ALAE

Default branch master · commit 42bcf2e5 · scanned 5/15/2026, 2:58:24 AM

GitHub: 3,518 stars · 551 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 podgorskiy/ALAE, 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
    Reposition README to highlight ALAE's unique value as a GAN alternative

    Why:

    CURRENT
    # ALAE

> **Adversarial Latent Autoencoders**<br>
> Stanislav Pidhorskyi, Donald Adjeroh, Gianfranco Doretto<br>
>
> **Abstract:Autoencoder networks are unsupervised approaches...
    COPY-PASTE FIX
    # ALAE

Adversarial Latent Autoencoders (ALAE) offers a powerful alternative to traditional GANs for high-fidelity image synthesis, uniquely combining StyleGAN-like generation with a robust, invertible encoder.

> **Adversarial Latent Autoencoders**<br>
> Stanislav Pidhorskyi, Donald Adjeroh, Gianfranco Doretto<br>
>
> **Abstract:Autoencoder networks are unsupervised approaches...
  • highlicense#2
    Add a LICENSE file to the repository root

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root containing the text of the Apache-2.0 License, as hinted by the existing (broken) link in the README.
  • mediumhomepage#3
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    Set the repository homepage URL to `https://drive.google.com/drive/folders/1iZodDA4q1IKRRgV2nJuAyyuCwQGtL4vp?usp=sharing`.

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 podgorskiy/ALAE
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
NVlabs/stylegan3
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. NVlabs/stylegan3 · recommended 1×
  2. NVlabs/stylegan2-ada-pytorch · recommended 1×
  3. Stability-AI/stablediffusion · recommended 1×
  4. DALL-E 2 · recommended 1×
  5. Midjourney · recommended 1×
  • CATEGORY QUERY
    How can I generate high-quality realistic human faces using deep learning models?
    you: not recommended
    AI recommended (in order):
    1. StyleGAN3 (NVlabs/stylegan3)
    2. StyleGAN2-ADA (NVlabs/stylegan2-ada-pytorch)
    3. Stable Diffusion (Stability-AI/stablediffusion)
    4. DALL-E 2
    5. Midjourney
    6. ProGAN (tkarras/progressive_growing_of_gans)

    AI recommended 6 alternatives but never named podgorskiy/ALAE. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good autoencoder alternatives to traditional GANs for image synthesis in PyTorch?
    you: not recommended
    AI recommended (in order):
    1. VQ-VAE
    2. Denoising Diffusion Probabilistic Models
    3. Latent Diffusion Models
    4. Stable Diffusion
    5. Adversarial Autoencoders
    6. VQ-GAN
    7. StyleGAN

    AI recommended 7 alternatives but never named podgorskiy/ALAE. 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 podgorskiy/ALAE?
    pass
    AI named podgorskiy/ALAE explicitly

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

  • If a team adopts podgorskiy/ALAE in production, what risks or prerequisites should they evaluate first?
    pass
    AI named podgorskiy/ALAE 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 podgorskiy/ALAE solve, and who is the primary audience?
    pass
    AI named podgorskiy/ALAE 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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podgorskiy/ALAE — 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
podgorskiy/ALAE — RepoGEO report