cONNXr
ai8x-synthesis
| cONNXr | ai8x-synthesis | |
|---|---|---|
| 2 | 1 | |
| 175 | 50 | |
| - | - | |
| 0.0 | 7.0 | |
| 6 months ago | 7 days ago | |
| C | Python | |
| MIT License | Apache License 2.0 |
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cONNXr
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[D] Run Pytorch model inference on Microcontroller
cONNXr - framework with C99 inference engine. Also interesting and not very active.
- [D] Machine Learning Expertise Combined with Embedded Knowlege
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?
nanopb-example - This is a simple project created to test the capabilities of Google's protobuf C implementation, nanopb.
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
deepC - vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers
onnx2c - Open Neural Network Exchange to C compiler.
MaximAI_Documentation - START HERE: Documentation for ADI's MAX78000 and MAX78002 Edge AI devices
nnom - A higher-level Neural Network library for microcontrollers.
ML-examples - Arm Machine Learning tutorials and examples