embedded-ai-deployment

SKILLFlujo de trabajocomunidad
v0.0.0matlabNOASSERTIONActualizado hace 8 dFuente →

Deploy AI models to embedded hardware using MathWorks tools (MATLAB, Simulink, Embedded Coder). Covers two workflow patterns: (1) MathWorks-native or 3P-imported models rebuilt as dlnetwork for lean hardware (Cortex-M, DSP), (2) direct C/C++ code generation from PyTorch and LiteRT models for high-pe

Community-submitted skill. Not yet reviewed by the Forge team. Full prompt content may not be available.Request review →
161Estrellas del repo
1Clientes
1Formatos
hace 8 dÚltima actualización
Skill
Autormatlab
Versión0.0.0
LicenciaNOASSERTION
CategoríaFlujo de trabajo
Formatosskill.md
PromptNo publicado
Compatibilidad
Claude✓ Compatible
Cursor
Copilot
ChatGPT
Gemini
Acerca de

Deploy AI models to embedded hardware using MathWorks tools (MATLAB, Simulink, Embedded Coder). Covers two workflow patterns: (1) MathWorks-native or 3P-imported models rebuilt as dlnetwork for lean hardware (Cortex-M, DSP), (2) direct C/C++ code generation from PyTorch and LiteRT models for high-performance hardware (Cortex-A, x86, GPU). Trigger when: user wants to deploy AI to embedded targets;

Palabras clave
skillclaude