REPOGEO REPORT · LITE
daturkel/learning-papers
Default branch master · commit 61be7d4b · scanned 6/12/2026, 12:42:51 PM
GitHub: 725 stars · 48 forks
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 daturkel/learning-papers, 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.
- hightopics#1Add more specific topics for discoverability
Why:
CURRENTmachine-learning, papers
COPY-PASTE FIXmachine-learning, papers, curated-list, foundational-papers, ml-history, research-papers, deep-learning-papers
- highreadme#2Reposition README opening to highlight curated resource nature
Why:
CURRENT### Landmark Papers in Machine Learning *This document attempts to collect the papers which developed important techniques in machine learning.
COPY-PASTE FIX### Landmark Papers in Machine Learning: A Curated Collection for Researchers and Students *This repository is a curated collection of landmark academic papers in machine learning, designed to facilitate learning and research by highlighting foundational techniques and significant contributions.*
- mediumhomepage#3Add a homepage URL
Why:
COPY-PASTE FIXhttps://github.com/daturkel/learning-papers
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.
- Papers With Code · recommended 1×
- Google Scholar · recommended 1×
- The Hundred-Page Machine Learning Book by Andriy Burkov · recommended 1×
- Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville · recommended 1×
- Distill.pub · recommended 1×
- CATEGORY QUERYWhat are the foundational research papers every machine learning engineer should know?you: not recommended
Show full AI answer
- CATEGORY QUERYWhere can I find a curated list of influential machine learning papers for historical context?you: not recommendedAI recommended (in order):
- Papers With Code
- Google Scholar
- The Hundred-Page Machine Learning Book by Andriy Burkov
- Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
- Distill.pub
- Towards Data Science
- Medium
AI recommended 7 alternatives but never named daturkel/learning-papers. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
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 daturkel/learning-papers?passAI named daturkel/learning-papers explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts daturkel/learning-papers in production, what risks or prerequisites should they evaluate first?passAI named daturkel/learning-papers 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 daturkel/learning-papers solve, and who is the primary audience?passAI named daturkel/learning-papers 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 daturkel/learning-papers. 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[](https://repogeo.com/en/r/daturkel/learning-papers)<a href="https://repogeo.com/en/r/daturkel/learning-papers"><img src="https://repogeo.com/badge/daturkel/learning-papers.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
daturkel/learning-papers — 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