REPOGEO REPORT · LITE

mbadry1/Trending-Deep-Learning

Default branch master · commit 24fecb29 · scanned 5/31/2026, 12:37:31 AM

GitHub: 676 stars · 220 forks

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 mbadry1/Trending-Deep-Learning, 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 opening to clarify content and metric

Why:

CURRENT

# Trending deep learning Github repositories

Here's a list of top 100 deep learning Github trending repositories sorted by the number of stars gained on a specific day.

COPY-PASTE FIX

# Trending Deep Learning GitHub Repositories by Daily Star Growth

This repository provides a regularly updated, curated list of the top 100 deep learning GitHub repositories, specifically sorted by the number of stars gained on a given day. It's designed for researchers and practitioners looking to quickly discover recently popular and actively developed deep learning projects.

mediumhomepage#2
Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIX
```
https://github.com/mbadry1/Trending-Deep-Learning
```

lowtopics#3

Add 'curated-list' and 'awesome-list' topics

Why:

CURRENT

artificial-intelligence, artificial-neural-networks, convolutional-neural-networks, deep-learning, deep-neural-networks, deep-reinforcement-learning, machine-learning, recurrent-neural-networks, stargazers-count, trending-repositories

COPY-PASTE FIX

artificial-intelligence, artificial-neural-networks, convolutional-neural-networks, deep-learning, deep-neural-networks, deep-reinforcement-learning, machine-learning, recurrent-neural-networks, stargazers-count, trending-repositories, curated-list, awesome-list

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 mbadry1/Trending-Deep-Learning

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Papers With Code

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Papers With Code · recommended 2×
Reddit · recommended 2×
GitHub Trending · recommended 1×
Hugging Face · recommended 1×
Twitter · recommended 1×

CATEGORY QUERY
Where can I find recently popular deep learning projects by daily star growth?
you: not recommended
AI recommended (in order):
1. GitHub Trending
2. Hugging Face
3. Papers With Code
4. Reddit
5. Twitter
6. Awesome Deep Learning Lists
7. Product Hunt
AI recommended 7 alternatives but never named mbadry1/Trending-Deep-Learning. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How can I discover new and actively developed deep learning repositories to explore?
you: not recommended
AI recommended (in order):
1. GitHub
2. Hugging Face Hub
3. Papers With Code
4. arXiv Sanity Preserver
5. arXiv.org
6. Twitter (X)
7. LinkedIn
8. Reddit
9. Awesome Deep Learning (ChristosChristofidis/awesome-deep-learning)
10. Awesome Machine Learning (josephmisiti/awesome-machine-learning)
AI recommended 10 alternatives but never named mbadry1/Trending-Deep-Learning. 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 mbadry1/Trending-Deep-Learning?
pass
AI did not name mbadry1/Trending-Deep-Learning — 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 mbadry1/Trending-Deep-Learning in production, what risks or prerequisites should they evaluate first?
pass
AI named mbadry1/Trending-Deep-Learning 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 mbadry1/Trending-Deep-Learning solve, and who is the primary audience?
pass
AI did not name mbadry1/Trending-Deep-Learning — 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 mbadry1/Trending-Deep-Learning. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/mbadry1/Trending-Deep-Learning.svg)](https://repogeo.com/en/r/mbadry1/Trending-Deep-Learning)

HTML

<a href="https://repogeo.com/en/r/mbadry1/Trending-Deep-Learning"><img src="https://repogeo.com/badge/mbadry1/Trending-Deep-Learning.svg" alt="RepoGEO" /></a>

Pro

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mbadry1/Trending-Deep-Learning — 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