REPOGEO REPORT · LITE

xialeiliu/Awesome-Incremental-Learning

Default branch master · commit 8e99c4a8 · scanned 6/24/2026, 9:58:04 AM

GitHub: 4,481 stars · 629 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE

17 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 0 warn · 1 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 xialeiliu/Awesome-Incremental-Learning, 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

Add a clear introductory sentence to the README

Why:

CURRENT

# Awesome Incremental Learning / Lifelong learning

COPY-PASTE FIX

# Awesome Incremental Learning / Lifelong learning

This repository is a curated collection of research papers and surveys on Incremental Learning and Lifelong Learning, designed to help researchers and practitioners track recent advances in the field.

hightopics#2

Add relevant topics to the repository

Why:

COPY-PASTE FIX

awesome-list, incremental-learning, continual-learning, lifelong-learning, machine-learning, deep-learning, artificial-intelligence, survey, research-papers, knowledge-distillation, catastrophic-forgetting

mediumlicense#3

Add a LICENSE file to the repository

Why:

COPY-PASTE FIX

Create a `LICENSE` file in the repository root with a standard open-source license (e.g., MIT License).

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 xialeiliu/Awesome-Incremental-Learning

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

TensorFlow/Keras

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

TensorFlow/Keras · recommended 1×
PyTorch · recommended 1×
Avalanche · recommended 1×
ContinualAI/mammoth · recommended 1×
CLIB · recommended 1×

CATEGORY QUERY
How to prevent deep learning models from forgetting old knowledge when learning new tasks?
you: not recommended
AI recommended (in order):
1. TensorFlow/Keras
2. PyTorch
3. Avalanche
4. ContinualAI/mammoth (ContinualAI/mammoth)
5. CLIB
AI recommended 5 alternatives but never named xialeiliu/Awesome-Incremental-Learning. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Where can I find comprehensive surveys on recent advances in continual learning for AI models?
you: not recommended
AI recommended (in order):
1. arXiv.org
2. Google Scholar
3. Distill.pub
4. Foundations and Trends® in Machine Learning
5. Journal of Machine Learning Research (JMLR)
6. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
7. NeurIPS
8. ICML
9. ICLR
10. CVPR
11. ICCV
12. ECCV
AI recommended 12 alternatives but never named xialeiliu/Awesome-Incremental-Learning. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
fail
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 xialeiliu/Awesome-Incremental-Learning?
pass
AI did not name xialeiliu/Awesome-Incremental-Learning — 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 xialeiliu/Awesome-Incremental-Learning in production, what risks or prerequisites should they evaluate first?
pass
AI named xialeiliu/Awesome-Incremental-Learning 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 xialeiliu/Awesome-Incremental-Learning solve, and who is the primary audience?
pass
AI did not name xialeiliu/Awesome-Incremental-Learning — 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 xialeiliu/Awesome-Incremental-Learning. 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/xialeiliu/Awesome-Incremental-Learning.svg)](https://repogeo.com/en/r/xialeiliu/Awesome-Incremental-Learning)

HTML

<a href="https://repogeo.com/en/r/xialeiliu/Awesome-Incremental-Learning"><img src="https://repogeo.com/badge/xialeiliu/Awesome-Incremental-Learning.svg" alt="RepoGEO" /></a>

Pro

Subscribe to Pro for deep diagnoses

xialeiliu/Awesome-Incremental-Learning — 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