ML-examples
deepC
ML-examples | deepC | |
---|---|---|
2 | 2 | |
406 | 526 | |
2.2% | 4.0% | |
5.0 | 0.0 | |
9 months ago | over 1 year ago | |
C++ | C++ | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
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
deepC
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[D] Run Pytorch model inference on Microcontroller
DeepC. Open source version of DeepSea. Very little activity, looks abandoned
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C with Deep Learning
You could try things like deepC but that is again C++ https://github.com/ai-techsystems/deepC
What are some alternatives?
MNN - MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
onnx-tensorrt - ONNX-TensorRT: TensorRT backend for ONNX
oneflow - OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
stm32mp1-baremetal - Baremetal framework and example projects for the STM32MP15x Cortex-A7 based MPU
tensorflow - An Open Source Machine Learning Framework for Everyone
SI4735 - SI473X Library for Arduino
onnx2c - Open Neural Network Exchange to C compiler.
darknet - Convolutional Neural Networks
CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
notepad2 - Notepad2-zufuliu is a light-weight Scintilla based text editor for Windows with syntax highlighting, code folding, auto-completion and API list for many programming languages and documents, bundled with file browser plugin metapath-zufuliu.
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