REPOGEO REPORT · LITE

dkozlov/awesome-knowledge-distillation

Default branch master · commit e591106c · scanned 5/22/2026, 7:13:14 PM

GitHub: 3,868 stars · 511 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

28 /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

2 / 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 dkozlov/awesome-knowledge-distillation, 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
Clarify the repository's nature as an 'awesome list' in the README's opening.
Why:
CURRENT
```
Awesome Knowledge Distillation
```
COPY-PASTE FIX
```
A curated list of awesome Knowledge Distillation resources, including papers, code, and tutorials.
```

mediumhomepage#2

Add a homepage URL to the repository's About section.

Why:

COPY-PASTE FIX

Add a relevant URL here, such as a GitHub Pages link for the awesome list or a related project's main page.

mediumtopics#3

Add broader 'awesome-list' related topics.

Why:

CURRENT

co-training, deep-learning, distillation, distillation-model, kd, knowldge-distillation, knowledge-distillation, knowledge-transfer, model-compression, model-distillation, teacher-student

COPY-PASTE FIX

co-training, deep-learning, distillation, distillation-model, kd, knowldge-distillation, knowledge-distillation, knowledge-transfer, model-compression, model-distillation, teacher-student, awesome-list, awesome-resources, machine-learning-resources, deep-learning-resources, literature-review

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 dkozlov/awesome-knowledge-distillation

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

OpenVINO Toolkit

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

OpenVINO Toolkit · recommended 1×
TensorRT · recommended 1×
ONNX Runtime · recommended 1×
PyTorch Quantization · recommended 1×
TensorFlow Lite · recommended 1×

CATEGORY QUERY
How can I effectively compress large deep learning models for efficient deployment?
you: not recommended
AI recommended (in order):
1. OpenVINO Toolkit
2. TensorRT
3. ONNX Runtime
4. PyTorch Quantization
5. TensorFlow Lite
6. torch.nn.utils.prune
7. tf.keras.layers.Pruning
8. Distiller
AI recommended 8 alternatives but never named dkozlov/awesome-knowledge-distillation. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What techniques facilitate transferring knowledge from a complex teacher model to a simpler student?
you: not recommended
AI recommended (in order):
1. Born-Again Networks
2. FitNets
3. Attention Transfer
4. Data-Free Knowledge Distillation
AI recommended 4 alternatives but never named dkozlov/awesome-knowledge-distillation. 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 dkozlov/awesome-knowledge-distillation?
pass
AI named dkozlov/awesome-knowledge-distillation explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts dkozlov/awesome-knowledge-distillation in production, what risks or prerequisites should they evaluate first?
pass
AI named dkozlov/awesome-knowledge-distillation 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 dkozlov/awesome-knowledge-distillation solve, and who is the primary audience?
pass
AI did not name dkozlov/awesome-knowledge-distillation — 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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HTML

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Pro

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dkozlov/awesome-knowledge-distillation — 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