REPOGEO REPORT · LITE
sail-sg/Adan
Default branch main · commit 2c65beaf · scanned 6/5/2026, 8:46:47 PM
GitHub: 819 stars · 70 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 sail-sg/Adan, 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.
- highreadme#1Strengthen README opening to highlight Adan's competitive edge
Why:
CURRENTThis is an official PyTorch implementation of **Adan**. See the paper here. If you find our adan helpful or heuristic to your projects, please cite this paper and also star this repository. Thanks!
COPY-PASTE FIXAdan is a cutting-edge Adaptive Nesterov Momentum optimizer specifically engineered for significantly faster and more efficient training of deep learning models. It delivers superior performance and faster convergence, particularly benefiting large language models (LLMs) and diffusion models, outperforming many traditional optimizers. This repository provides the official PyTorch implementation.
- mediumhomepage#2Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIXhttps://arxiv.org/abs/2208.06677
- lowreadme#3Add a 'Key Advantages' or 'Why Adan?' section to README
Why:
COPY-PASTE FIX## Key Advantages of Adan - **Faster Convergence:** Achieves optimal performance in fewer training steps compared to conventional optimizers. - **Improved Generalization:** Leads to models with better performance on unseen data. - **Optimized for Large Models:** Particularly effective for training large language models (LLMs), vision transformers (ViTs), and diffusion models. - **Adaptive Nesterov Momentum:** Combines the benefits of adaptive learning rates with Nesterov momentum for robust and efficient optimization.
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.
- AdamW · recommended 2×
- Adam · recommended 2×
- SGD with Momentum · recommended 2×
- RAdam · recommended 1×
- Lookahead · recommended 1×
- CATEGORY QUERYHow to accelerate deep learning model training using a more efficient PyTorch optimizer?you: not recommendedAI recommended (in order):
- AdamW
- Adam
- SGD with Momentum
- RAdam
- Lookahead
- Adabelief
AI recommended 6 alternatives but never named sail-sg/Adan. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat are the best adaptive momentum optimizers for large language models and diffusion models?you: not recommendedAI recommended (in order):
- AdamW
- Lion (Evolved Sign Momentum)
- AdaFactor
- Adam
- SGD with Momentum
- Sophia (Second-order Optimizer for Deep Learning)
AI recommended 6 alternatives but never named sail-sg/Adan. 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 sail-sg/Adan?passAI named sail-sg/Adan explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts sail-sg/Adan in production, what risks or prerequisites should they evaluate first?passAI named sail-sg/Adan 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 sail-sg/Adan solve, and who is the primary audience?passAI named sail-sg/Adan 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 sail-sg/Adan. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/sail-sg/Adan)<a href="https://repogeo.com/en/r/sail-sg/Adan"><img src="https://repogeo.com/badge/sail-sg/Adan.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
sail-sg/Adan — 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