REPOGEO REPORT · LITE

ukairia777/tensorflow-nlp-tutorial

Default branch main · commit 0bdaca75 · scanned 6/14/2026, 9:07:37 PM

GitHub: 578 stars · 287 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 ukairia777/tensorflow-nlp-tutorial, 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's opening to emphasize modern NLP and LLM tutorials

Why:

CURRENT

# Tensorflow-NLP-tutorial
- A list of NLP(Natural Language Processing) tutorials built on Tensorflow 2.0.
- I've launched a PyTorch tutorial! Check it out through this link.

COPY-PASTE FIX

# Tensorflow-NLP-tutorial: Modern Deep Learning NLP Tutorials with TensorFlow 2.0+
This repository provides comprehensive tutorials and practical code examples for Natural Language Processing (NLP) using TensorFlow 2.0+. It covers everything from text preprocessing to advanced topics like Topic Models, BERT, GPT, LLM fine-tuning (LoRA, DPO, SFT), and RAG, focusing on the latest deep learning models and their downstream tasks.

highlicense#2

Add a LICENSE file to the repository

Why:

COPY-PASTE FIX

Create a LICENSE file in the repository root. Choose a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that best suits your project's intent and add its content to the file.

mediumhomepage#3
Set the repository homepage to the e-Book link
Why:
COPY-PASTE FIX
```
https://wikidocs.net/book/2155
```

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 ukairia777/tensorflow-nlp-tutorial

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

TensorFlow Keras (tf.keras)

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

TensorFlow Keras (tf.keras) · recommended 1×
Hugging Face Transformers · recommended 1×
TensorFlow Text · recommended 1×
TensorFlow Datasets (tfds) · recommended 1×
KerasNLP · recommended 1×

CATEGORY QUERY
How to implement various deep learning NLP models using TensorFlow 2.0?
you: not recommended
AI recommended (in order):
1. TensorFlow Keras (tf.keras)
2. Hugging Face Transformers
3. TensorFlow Text
4. TensorFlow Datasets (tfds)
5. KerasNLP
AI recommended 5 alternatives but never named ukairia777/tensorflow-nlp-tutorial. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking tutorials for fine-tuning large language models with TensorFlow and Hugging Face.
you: not recommended
AI recommended (in order):
1. TensorFlow
2. Hugging Face
3. Keras
4. Google Colab
5. fast.ai
AI recommended 5 alternatives but never named ukairia777/tensorflow-nlp-tutorial. 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 ukairia777/tensorflow-nlp-tutorial?
pass
AI did not name ukairia777/tensorflow-nlp-tutorial — 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 ukairia777/tensorflow-nlp-tutorial in production, what risks or prerequisites should they evaluate first?
pass
AI named ukairia777/tensorflow-nlp-tutorial 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 ukairia777/tensorflow-nlp-tutorial solve, and who is the primary audience?
pass
AI did not name ukairia777/tensorflow-nlp-tutorial — 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 ukairia777/tensorflow-nlp-tutorial. 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/ukairia777/tensorflow-nlp-tutorial.svg)](https://repogeo.com/en/r/ukairia777/tensorflow-nlp-tutorial)

HTML

<a href="https://repogeo.com/en/r/ukairia777/tensorflow-nlp-tutorial"><img src="https://repogeo.com/badge/ukairia777/tensorflow-nlp-tutorial.svg" alt="RepoGEO" /></a>

Pro

Subscribe to Pro for deep diagnoses

ukairia777/tensorflow-nlp-tutorial — 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