PyNeuroMesh

PyNeuroMesh is a hybrid meshing pipeline that integrates neural implicit surface representations with classical mesh generation. It uses neural networks to learn signed distance functions (SDFs) and adaptive refinement fields to guide high-quality mesh generation using GMSH.

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🔑 Features

• Neural SDF Models — Learn continuous geometry via MLPs.
• GMSH Integration — Surface extraction via marching cubes, meshing with GMSH.
• Adaptive Refinement — Use RefineNet to predict local mesh size.
• Training Pipelines — Includes synthetic and simulation-aware training scripts.
• Python + CLI Access — Scriptable modules and runnable command-line tools.

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📦 Installation

git clone https://github.com/jamesafful/pyneuromesh.git
cd pyneuromesh
pip install -r requirements.txt