REPOGEO REPORT · LITE
ML4Comm-Netw/Paper-with-Code-of-Wireless-communication-Based-on-DL
Default branch master · commit a3dabfee · scanned 5/18/2026, 7:43:05 AM
GitHub: 2,249 stars · 675 forks
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.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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 ML4Comm-Netw/Paper-with-Code-of-Wireless-communication-Based-on-DL, 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.
- highabout#1Update the repository description to clearly state its purpose
Why:
CURRENT无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL
COPY-PASTE FIXA curated list of research papers with open-source code, focusing on deep learning applications in wireless communication. 无线与深度学习结合的论文代码整理.
- highlicense#2Add a LICENSE file to the repository
Why:
COPY-PASTE FIXCreate a `LICENSE` file in the repository root, choosing a standard open-source license (e.g., MIT, Apache-2.0, or CC0 for the data/list itself) to clarify usage rights for the collection.
- mediumreadme#3Add a clear English opening sentence to the README
Why:
CURRENTFor English reader,please refer to English Version.
COPY-PASTE FIXThis repository is a curated list of research papers with open-source code, specifically focusing on deep learning applications in wireless communication. For English readers, please refer to the English Version below.
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.
- OpenAI Gym · recommended 2×
- gym-wireless · recommended 2×
- GNU Radio · recommended 2×
- TensorFlow · recommended 2×
- PyTorch · recommended 2×
- CATEGORY QUERYWhere can I find open-source code for deep learning applications in wireless communication?you: not recommendedAI recommended (in order):
- GitHub
- OpenAI Gym
- gym-wireless
- DeepMIMO
- USRP
- HackRF
- arXiv.org
- IEEE Xplore
- ACM Digital Library
- Wireless@Virginia Tech
- Stanford University
- MIT
- University of Oulu
- Technical University of Munich
- Imperial College London
- Kaggle
- GNU Radio
- TensorFlow
- PyTorch
AI recommended 19 alternatives but never named ML4Comm-Netw/Paper-with-Code-of-Wireless-communication-Based-on-DL. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat resources provide code examples for machine learning in physical layer communication systems?you: not recommendedAI recommended (in order):
- OpenAI Gym
- gym-wireless
- gym-fso
- TensorFlow
- Keras
- PyTorch
- GNU Radio
- MATLAB Deep Learning Toolbox
- MATLAB Communications Toolbox
- CommPy
AI recommended 10 alternatives but never named ML4Comm-Netw/Paper-with-Code-of-Wireless-communication-Based-on-DL. 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 ML4Comm-Netw/Paper-with-Code-of-Wireless-communication-Based-on-DL?passAI did not name ML4Comm-Netw/Paper-with-Code-of-Wireless-communication-Based-on-DL — 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 ML4Comm-Netw/Paper-with-Code-of-Wireless-communication-Based-on-DL in production, what risks or prerequisites should they evaluate first?passAI named ML4Comm-Netw/Paper-with-Code-of-Wireless-communication-Based-on-DL 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 ML4Comm-Netw/Paper-with-Code-of-Wireless-communication-Based-on-DL solve, and who is the primary audience?passAI did not name ML4Comm-Netw/Paper-with-Code-of-Wireless-communication-Based-on-DL — 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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ML4Comm-Netw/Paper-with-Code-of-Wireless-communication-Based-on-DL — 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