ai8x-synthesis VS tinyengine

Compare ai8x-synthesis vs tinyengine and see what are their differences.

ai8x-synthesis

Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 Edge AI Devices (by analogdevicesinc)

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 (by mit-han-lab)
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ai8x-synthesis tinyengine
1 3
50 742
- 3.4%
7.0 5.6
3 days ago about 1 month ago
Python C
Apache License 2.0 MIT License
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.

ai8x-synthesis

Posts with mentions or reviews of ai8x-synthesis. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-14.

tinyengine

Posts with mentions or reviews of tinyengine. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-14.

What are some alternatives?

When comparing ai8x-synthesis and tinyengine you can also consider the following projects:

TinyMaix - TinyMaix is a tiny inference library for microcontrollers (TinyML).

prnf - A lightweight tiny printf alternative. With some reasonable limitations, extensions, and alternative behaviour suited to microcontrollers.

onnx2c - Open Neural Network Exchange to C compiler.

nnom - A higher-level Neural Network library for microcontrollers.

cONNXr - Pure C ONNX runtime with zero dependancies for embedded devices

ML-examples - Arm Machine Learning tutorials and examples

EdgeML - This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

deepC - vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers

SLID-on-Microcontrollers - Speech Classification using a Convolutional Neural Network running on a Microcontroller