REPOGEO REPORT · LITE

TingFree/NLPer-Arsenal

Default branch master · commit f8567c48 · scanned 7/1/2026, 8:47:54 PM

GitHub: 2,239 stars · 248 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 TingFree/NLPer-Arsenal, 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 H1 and opening paragraph to clarify project type

Why:

CURRENT

# NLPer-Arsenal

NLP人军火库，主要收录NLP竞赛策略实现、各任务教程、经验贴、学习资料以及会议时间等，如果对你有帮助，请给我们一个star。

COPY-PASTE FIX

# NLPer-Arsenal: Your Curated Guide to NLP Competitions & Resources

NLPer-Arsenal (NLP人军火库) is a continuously updated, comprehensive collection designed for NLP practitioners. It provides effective NLP competition strategies, task baselines, tutorials, experience posts, learning materials, conference deadlines, recommended self-media, and GPU compute resources. If this arsenal helps you, please give us a star!

mediumtopics#2

Add topics to explicitly describe the repo as a curated collection

Why:

CURRENT

baselines, gpu, nlp, nlp-competition, nlp-conference, nlp-media, pytorch

COPY-PASTE FIX

baselines, gpu, nlp, nlp-competition, nlp-conference, nlp-media, pytorch, awesome-list, curated-resources, nlp-guide

lowhomepage#3
Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIX
```
https://tingfree.github.io/NLPer-Arsenal
```

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 TingFree/NLPer-Arsenal

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×
Kaggle · recommended 1×
Hugging Face Transformers Library · recommended 1×
NLP Progress · recommended 1×
Towards Data Science (Medium) · recommended 1×

CATEGORY QUERY
Where can I find effective NLP competition strategies and task baselines for various problems?
you: not recommended
AI recommended (in order):
1. Kaggle
2. Papers With Code
3. Hugging Face Transformers Library
4. NLP Progress
5. Towards Data Science (Medium)
6. Analytics Vidhya
AI recommended 6 alternatives but never named TingFree/NLPer-Arsenal. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are good resources for tracking NLP conference deadlines and finding compute recommendations?
you: not recommended
AI recommended (in order):
1. NLP Deadlines
2. AI Conference Deadlines
3. Google Scholar
4. Twitter
5. ACLoffice
6. EMNLP
7. Papers With Code
8. Hugging Face Transformers Library Documentation
9. NVIDIA Developer Blog
10. NVIDIA A100
11. H100
12. AWS
13. Google Cloud
14. Azure
15. AWS EC2 P4d instances
16. Google Cloud A2 instances
17. Reddit
18. r/MachineLearning
19. r/deeplearning
AI recommended 19 alternatives but never named TingFree/NLPer-Arsenal. 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 TingFree/NLPer-Arsenal?
pass
AI named TingFree/NLPer-Arsenal explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts TingFree/NLPer-Arsenal in production, what risks or prerequisites should they evaluate first?
pass
AI named TingFree/NLPer-Arsenal 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 TingFree/NLPer-Arsenal solve, and who is the primary audience?
pass
AI named TingFree/NLPer-Arsenal explicitly
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)

[![RepoGEO](https://repogeo.com/badge/TingFree/NLPer-Arsenal.svg)](https://repogeo.com/en/r/TingFree/NLPer-Arsenal)

HTML

<a href="https://repogeo.com/en/r/TingFree/NLPer-Arsenal"><img src="https://repogeo.com/badge/TingFree/NLPer-Arsenal.svg" alt="RepoGEO" /></a>

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TingFree/NLPer-Arsenal — 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