onnx2c
MaximAI_Documentation
onnx2c | MaximAI_Documentation | |
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1 | 1 | |
166 | 87 | |
- | - | |
6.6 | 5.0 | |
about 1 month ago | 9 days ago | |
C | ||
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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onnx2c
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[D] Run Pytorch model inference on Microcontroller
onnx2c - onnx to c sourcecode converter. Looks interesting, but also not very active.
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?
deepC - vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers
cONNXr - Pure C ONNX runtime with zero dependancies for embedded devices
ML-examples - Arm Machine Learning tutorials and examples
TinyMaix - TinyMaix is a tiny inference library for microcontrollers (TinyML).
CMSIS-NN - CMSIS-NN Library
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
ai8x-synthesis - Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 Edge AI Devices
nnom - A higher-level Neural Network library for microcontrollers.