ML-examples
TinyMaix
| ML-examples | TinyMaix | |
|---|---|---|
| 2 | 10 | |
| 406 | 827 | |
| 2.2% | 1.5% | |
| 5.0 | 4.2 | |
| 9 months ago | 25 days ago | |
| C++ | C | |
| Apache License 2.0 | Apache License 2.0 |
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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
TinyMaix
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[D] Run Pytorch model inference on Microcontroller
TinyMaix. Very minimalistic, can also be used on RISC-V
- Show HN: PicoVGA Library – VGA/TV Display on Raspberry Pi Pico
- [Discussion] Best practices for taking deep learning models to bare metal MCUs
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Meet Sipeed’s TinyMaix: An Open-Source Lightweight Machine Learning Library For Microcontrollers
Sipeed TinyMaix is an open-source machine learning library designed for microcontrollers. According to findings, it is lightweight enough to be compatible with Microchip ATmega328 MCU found in the Arduino UNO board and its many clones.
- TinyMaix: Enable Deeplearning for embedded device with 1KB SRAM
- TinyMaix: Ultra Lightweight TinyML Infer Lib (using tflite quant strategy)
- TinyMaix: Ultra Lightweight TinyML Infer Lib optimized for RISC-V P/V extend~
- TinyMaix: Enable Deeplearning for IoT device with 1KB SRAM
What are some alternatives?
MNN - MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
ai8x-synthesis - Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 Edge AI Devices
oneflow - OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
nnom - A higher-level Neural Network library for microcontrollers.
tensorflow - An Open Source Machine Learning Framework for Everyone
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
onnx2c - Open Neural Network Exchange to C compiler.
pico-zxspectrum - ZX Spectrum for Raspberry Pico Pi RP2040
CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
mbot-vision - Let your Makeblock robot see using an ESP32, camera and PyTorch
b-em - An RP2040 and Raspberry Pi 2/3/4/Zero 2 W version of an opensource BBC Micro emulator originally for Win32 and Linux