MiniML is a lightweight Machine and Deep Learning framework dedicated to training neural networks in embedded systems, redefining conventional and heavyweight models into different methods that can be exported and executed on low-cost microcontrollers (Arduino, ESP32, STM32).
pythonopen-sourcearduinoframeworkdeep-learningmicrocontrollerscppesp32machine-learning-algorithmspypistm32reverse-engineeringembedded-systemsno-dependenciesprogmemtraining-neural-netedge-aiminimltinymlc-code-generation
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Updated
Jun 9, 2026 - Python