RRepoGEO

REPOGEO REPORT · LITE

Zasder3/train-CLIP

Default branch main · commit 79d4c796 · scanned 6/10/2026, 3:12:59 PM

GitHub: 721 stars · 86 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
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 Zasder3/train-CLIP, 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-lightning, clip, vision-language-models, deep-learning, machine-learning, computer-vision, nlp, fine-tuning, training-framework
  • highreadme#2
    Add an explicit introductory paragraph to the README

    Why:

    COPY-PASTE FIX
    This repository provides a complete, ready-to-use PyTorch Lightning framework for training OpenAI's CLIP model from scratch or fine-tuning it with your own datasets. It focuses on the training pipeline and model architecture, offering a robust solution for researchers and developers working with vision-language models.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    [Link to a relevant project page, documentation, or the repository itself if no external site exists]

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 Zasder3/train-CLIP
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
MS COCO
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. MS COCO · recommended 1×
  2. Flickr30k · recommended 1×
  3. Conceptual Captions · recommended 1×
  4. VQA 2.0 · recommended 1×
  5. GQA · recommended 1×
  • CATEGORY QUERY
    How to train a custom vision-language model from scratch using modern deep learning frameworks?
    you: not recommended
    AI recommended (in order):
    1. MS COCO
    2. Flickr30k
    3. Conceptual Captions
    4. VQA 2.0
    5. GQA
    6. CLIP
    7. BERT
    8. PyTorch
    9. PyTorch Lightning
    10. Hugging Face Transformers
    11. ResNet
    12. Vision Transformer
    13. RoBERTa
    14. JAX
    15. Flax
    16. Haiku
    17. TensorFlow

    AI recommended 17 alternatives but never named Zasder3/train-CLIP. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are efficient ways to fine-tune pre-trained image and text encoders together?
    you: not recommended
    AI recommended (in order):
    1. OpenCLIP
    2. Hugging Face PEFT library
    3. Hugging Face Transformers library
    4. LoRA
    5. Prefix-Tuning

    AI recommended 5 alternatives but never named Zasder3/train-CLIP. 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 Zasder3/train-CLIP?
    pass
    AI named Zasder3/train-CLIP explicitly

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

  • If a team adopts Zasder3/train-CLIP in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Zasder3/train-CLIP 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 Zasder3/train-CLIP solve, and who is the primary audience?
    pass
    AI named Zasder3/train-CLIP explicitly

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

Embed your GEO score

Drop this badge into the README of Zasder3/train-CLIP. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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Zasder3/train-CLIP — 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