RRepoGEO

REPOGEO REPORT · LITE

weslynn/AlphaTree-graphic-deep-neural-network

Default branch master · commit 36051703 · scanned 5/18/2026, 6:02:51 AM

GitHub: 2,989 stars · 615 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
22 /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
1 / 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 weslynn/AlphaTree-graphic-deep-neural-network, 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 the README H1 to clearly state the repo's purpose as a learning roadmap

    Why:

    CURRENT
    # AlphaTree : DNN && GAN && NLP && BIG DATA 从新手到深度学习应用工程师
    COPY-PASTE FIX
    # AlphaTree: AI Roadmap & Learning Path for Deep Learning, GANs, NLP, and Big Data — From Novice to Application Engineer
  • highlicense#2
    Create a LICENSE file with the stated CC-BY-NC-SA license

    Why:

    COPY-PASTE FIX
    Create a file named `LICENSE` in the repository root containing the full text of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license.
  • mediumtopics#3
    Add more specific topics to reflect the repo's content and purpose

    Why:

    CURRENT
    deep-learning, image-classification, machine-learning, neural-network
    COPY-PASTE FIX
    ai-roadmap, deep-learning-roadmap, machine-learning-roadmap, interview-prep, deep-learning-tutorial, gan, nlp, big-data, pytorch, tensorflow, neural-networks, machine-learning-interview

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 weslynn/AlphaTree-graphic-deep-neural-network
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PyTorch
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. PyTorch · recommended 2×
  2. TensorFlow · recommended 2×
  3. Coursera: Deep Learning Specialization by Andrew Ng (DeepLearning.AI) · recommended 1×
  4. fast.ai: Practical Deep Learning for Coders · recommended 1×
  5. "Deep Learning with Python" by François Chollet · recommended 1×
  • CATEGORY QUERY
    Looking for a comprehensive learning path for deep learning, GANs, and NLP with practical code.
    you: not recommended
    AI recommended (in order):
    1. Coursera: Deep Learning Specialization by Andrew Ng (DeepLearning.AI)
    2. fast.ai: Practical Deep Learning for Coders
    3. "Deep Learning with Python" by François Chollet
    4. Coursera: Natural Language Processing Specialization by DeepLearning.AI
    5. Hugging Face Transformers Library
    6. "Natural Language Processing with Transformers" by Lewis Tunstall, Leandro von Werra, and Thomas Wolf (Hugging Face)
    7. Coursera: Generative Adversarial Networks (GANs) Specialization by DeepLearning.AI
    8. "Generative Deep Learning" by David Foster
    9. PyTorch GANs
    10. Google Colaboratory (Colab)
    11. Jupyter Notebooks
    12. PyTorch
    13. TensorFlow
    14. Weights & Biases (W&B)
    15. GitHub

    AI recommended 15 alternatives but never named weslynn/AlphaTree-graphic-deep-neural-network. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need resources to prepare for deep learning interviews and build real-world AI applications.
    you: not recommended
    AI recommended (in order):
    1. Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
    2. Deep Learning Specialization" on Coursera by Andrew Ng (DeepLearning.AI)
    3. TensorFlow
    4. Keras
    5. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron
    6. Scikit-Learn
    7. PyTorch
    8. Kaggle
    9. Designing Machine Learning Systems" by Chip Huyen

    AI recommended 9 alternatives but never named weslynn/AlphaTree-graphic-deep-neural-network. 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 weslynn/AlphaTree-graphic-deep-neural-network?
    pass
    AI did not name weslynn/AlphaTree-graphic-deep-neural-network — 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?

  • If a team adopts weslynn/AlphaTree-graphic-deep-neural-network in production, what risks or prerequisites should they evaluate first?
    pass
    AI named weslynn/AlphaTree-graphic-deep-neural-network 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 weslynn/AlphaTree-graphic-deep-neural-network solve, and who is the primary audience?
    pass
    AI did not name weslynn/AlphaTree-graphic-deep-neural-network — 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

Drop this badge into the README of weslynn/AlphaTree-graphic-deep-neural-network. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/weslynn/AlphaTree-graphic-deep-neural-network.svg)](https://repogeo.com/en/r/weslynn/AlphaTree-graphic-deep-neural-network)
HTML
<a href="https://repogeo.com/en/r/weslynn/AlphaTree-graphic-deep-neural-network"><img src="https://repogeo.com/badge/weslynn/AlphaTree-graphic-deep-neural-network.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

weslynn/AlphaTree-graphic-deep-neural-network — 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