tinyengine
ML-examples
| tinyengine | ML-examples | |
|---|---|---|
| 3 | 2 | |
| 742 | 406 | |
| 3.4% | 2.2% | |
| 5.6 | 5.0 | |
| about 1 month ago | 9 months ago | |
| C | C++ | |
| MIT License | 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.
tinyengine
-
[D] Run Pytorch model inference on Microcontroller
TinyEngine from MCUNet. Looks great, targeting ARM CM4.
-
[D][R] Deploying deep models on memory constrained devices
However, I am looking on this subject through the problem of training/finetuning deep models on the edge devices, being increasingly available thing to do. Looking at tflite, alibaba's MNN, mit-han-lab's tinyengine etc..
- TinyEngine: High-performance neural network library for Microcontrollers
ML-examples
-
[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
-
Machine Learning on ARM
Well there's something, https://github.com/ARM-software/ML-examples
What are some alternatives?
prnf - A lightweight tiny printf alternative. With some reasonable limitations, extensions, and alternative behaviour suited to microcontrollers.
MNN - MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
nnom - A higher-level Neural Network library for microcontrollers.
oneflow - OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
ai8x-synthesis - Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 Edge AI Devices
tensorflow - An Open Source Machine Learning Framework for Everyone
EdgeML - This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
onnx2c - Open Neural Network Exchange to C compiler.
SLID-on-Microcontrollers - Speech Classification using a Convolutional Neural Network running on a Microcontroller
CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
TinyMaix - TinyMaix is a tiny inference library for microcontrollers (TinyML).
serving - A flexible, high-performance serving system for machine learning models