CMSIS-NN
MaximAI_Documentation
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8.0 | 5.0 | |
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Apache License 2.0 | GNU General Public License v3.0 or later |
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CMSIS-NN
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[D] Run Pytorch model inference on Microcontroller
CMSIS-NN. ARM centric. Examples. They also have an example for a pytorch to tflite converter via onnx
MaximAI_Documentation
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[D] Run Pytorch model inference on Microcontroller
MAX7800X Toolchain and Documentation (proprietary) This is a proprieteray toolchain to deploy models to the MAX78000 edge NN devices.
What are some alternatives?
nnom - A higher-level Neural Network library for microcontrollers.
cONNXr - Pure C ONNX runtime with zero dependancies for embedded devices
onnx2c - Open Neural Network Exchange to C compiler.
TinyMaix - TinyMaix is a tiny inference library for microcontrollers (TinyML).
tinyengine - [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory
deepC - vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers
ML-examples - Arm Machine Learning tutorials and examples
ai8x-synthesis - Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 Edge AI Devices