ML-examples VS onnx2c

Compare ML-examples vs onnx2c and see what are their differences.

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ML-examples onnx2c
2 1
406 158
2.2% -
5.0 6.6
9 months ago 27 days ago
C++ C
Apache License 2.0 GNU General Public License v3.0 or later
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.

ML-examples

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

onnx2c

Posts with mentions or reviews of onnx2c. 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 ML-examples and onnx2c you can also consider the following projects:

MNN - MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

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

oneflow - OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

CMSIS-NN - CMSIS-NN Library

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

CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

ai8x-synthesis - Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 Edge AI Devices

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

serving - A flexible, high-performance serving system for machine learning models

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