REPOGEO REPORT · LITE

hurshd0/must-read-papers-for-ml

Default branch master · commit 3f8dc7b3 · scanned 5/26/2026, 5:37:49 AM

GitHub: 1,349 stars · 180 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 hurshd0/must-read-papers-for-ml, 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

Move the 'READ THIS' section higher in the README

Why:

CURRENT

The 'READ THIS' section is currently below 'Contributing'.

COPY-PASTE FIX

Move the entire section starting with `### :point_down: READ THIS :point_down:` and ending with `:3rd_place_medal: - Read it third` to immediately after the initial `### Curated collection...` subtitle.

mediumreadme#2

Add a concise value statement to the README's opening

Why:

CURRENT

### Curated collection of Data Science, Machine Learning and Deep Learning papers, reviews and articles that are on must read list.

COPY-PASTE FIX

### Curated collection of Data Science, Machine Learning and Deep Learning papers, reviews and articles that are on must read list. This repository provides a structured roadmap and essential guidance to help you effectively navigate and master complex research, going beyond just a simple list.

mediumhomepage#3
Add the repository URL as the homepage
Why:
COPY-PASTE FIX
```
https://github.com/hurshd0/must-read-papers-for-ml
```

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 hurshd0/must-read-papers-for-ml

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Deep Learning Papers Reading Roadmap

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Deep Learning Papers Reading Roadmap · recommended 1×
Papers With Code · recommended 1×
The Deep Learning Book · recommended 1×
Awesome Deep Learning Papers · recommended 1×
Distill.pub · recommended 1×

CATEGORY QUERY
Where can I find a curated list of foundational research papers for deep learning?
you: not recommended
AI recommended (in order):
1. Deep Learning Papers Reading Roadmap
2. Papers With Code
3. The Deep Learning Book
4. Awesome Deep Learning Papers
5. Distill.pub
6. Google AI Blog
7. OpenAI Blog
AI recommended 7 alternatives but never named hurshd0/must-read-papers-for-ml. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the most important machine learning papers for a data science career?
you: not recommended
AI recommended (in order):
1. Deep Learning
2. ImageNet Classification with Deep Convolutional Neural Networks
3. Attention Is All You Need
4. Playing Atari with Deep Reinforcement Learning
5. Random Forests
6. A Decision-Tree-Based Algorithm for Inducing Classifiers
7. Support-Vector Networks
AI recommended 7 alternatives but never named hurshd0/must-read-papers-for-ml. 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 hurshd0/must-read-papers-for-ml?
pass
AI did not name hurshd0/must-read-papers-for-ml — 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 hurshd0/must-read-papers-for-ml in production, what risks or prerequisites should they evaluate first?
pass
AI named hurshd0/must-read-papers-for-ml 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 hurshd0/must-read-papers-for-ml solve, and who is the primary audience?
pass
AI did not name hurshd0/must-read-papers-for-ml — 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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MARKDOWN (README)

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hurshd0/must-read-papers-for-ml — 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