nnom
A higher-level Neural Network library for microcontrollers. (by majianjia)
CMSIS-NN
CMSIS-NN Library (by ARM-software)
nnom | CMSIS-NN | |
---|---|---|
1 | 1 | |
802 | 149 | |
- | 6.0% | |
7.2 | 8.0 | |
about 1 month ago | 5 days ago | |
C | C | |
Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
nnom
Posts with mentions or reviews of nnom.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-11-14.
CMSIS-NN
Posts with mentions or reviews of CMSIS-NN.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-11-14.
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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?
When comparing nnom and CMSIS-NN you can also consider the following projects:
TinyMaix - TinyMaix is a tiny inference library for microcontrollers (TinyML).
onnx2c - Open Neural Network Exchange to C compiler.
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
cONNXr - Pure C ONNX runtime with zero dependancies for embedded devices
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