TinyMaix
cONNXr
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| TinyMaix | cONNXr | |
|---|---|---|
| 10 | 2 | |
| 825 | 174 | |
| 3.2% | - | |
| 1.5 | 0.0 | |
| 17 days ago | 6 months ago | |
| C | C | |
| Apache License 2.0 | MIT License |
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.
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
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
What are some alternatives?
ai8x-synthesis - Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 Edge AI Devices
nanopb-example - This is a simple project created to test the capabilities of Google's protobuf C implementation, nanopb.
nnom - A higher-level Neural Network library for microcontrollers.
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
pico-zxspectrum - ZX Spectrum for Raspberry Pico Pi RP2040
deepC - vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers
mbot-vision - Let your Makeblock robot see using an ESP32, camera and PyTorch
MaximAI_Documentation - START HERE: Documentation for ADI's MAX78000 and MAX78002 Edge AI devices
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
ML-examples - Arm Machine Learning tutorials and examples