The first open-source repository for Scientific Machine Learning (PINNs, PIELM, RFM, Neural Operators) via Vibe Codin...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Still active enough to matter. Good candidate for a fast stack test instead of a long evaluation loop.
Copy the install, test the workflow, then decide if it earns a permanent slot.
Reasonable to try, but it will take more than a quick skim to get real signal.
GitHub health 28/100. no security policy. 2 open issues make this testable, but not something to trust blind.
AI Agent
Universal
Model
Multiple
Fastest way to find out if Physics-informed-vibe-coding belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/xgxgnpu/Physics-informed-vibe-coding ~/.claude/agents/physics-informed-vibe-codingRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ~/.claude/agents/physics-informed-vibe-codingNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ agents/ │ └─ physics-informed-vibe-coding/ ← installs here └─ settings.json
The first open-source repository for Scientific Machine Learning (PINNs, PIELM, RFM, Neural Operators) via Vibe Coding. JAX-GPU implementations with Chinese tutorials. 首个采用 Vibe Coding 进行科学机器学习研究的开源仓库。. An open-source agent for the AI coding ecosystem.
Source: GitHub repository
Source check: July 18, 2026
Upstream commit: July 1, 2026
Repository state: Not marked archived
Honeystax upvotes are community interest signals, not star ratings. GitHub stars and repository health are source measurements; editorial risk and trial-cost notes are Honeystax analysis.