onnx2c
CMSIS-NN
| onnx2c | CMSIS-NN | |
|---|---|---|
| 1 | 1 | |
| 166 | 149 | |
| - | 6.0% | |
| 6.6 | 8.0 | |
| about 1 month ago | 4 days ago | |
| C | C | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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.
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
What are some alternatives?
deepC - vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers
nnom - A higher-level Neural Network library for microcontrollers.
ML-examples - Arm Machine Learning tutorials and examples
cONNXr - Pure C ONNX runtime with zero dependancies for embedded devices
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
TinyMaix - TinyMaix is a tiny inference library for microcontrollers (TinyML).