ML-examples
ai8x-synthesis
| ML-examples | ai8x-synthesis | |
|---|---|---|
| 2 | 1 | |
| 406 | 50 | |
| 2.2% | - | |
| 5.0 | 7.0 | |
| 9 months ago | 12 days ago | |
| C++ | Python | |
| Apache License 2.0 | Apache License 2.0 |
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ML-examples
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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
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Machine Learning on ARM
Well there's something, https://github.com/ARM-software/ML-examples
ai8x-synthesis
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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?
MNN - MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
TinyMaix - TinyMaix is a tiny inference library for microcontrollers (TinyML).
oneflow - OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
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
tensorflow - An Open Source Machine Learning Framework for Everyone
onnx2c - Open Neural Network Exchange to C compiler.
cONNXr - Pure C ONNX runtime with zero dependancies for embedded devices
CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
nnom - A higher-level Neural Network library for microcontrollers.
deepC - vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers