deepC VS ML-examples

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

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deepC ML-examples
2 2
526 405
4.0% 2.0%
0.0 5.0
over 1 year ago 9 months ago
C++ C++
Apache License 2.0 Apache License 2.0
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.

deepC

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

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.

What are some alternatives?

When comparing deepC and ML-examples you can also consider the following projects:

onnx-tensorrt - ONNX-TensorRT: TensorRT backend for ONNX

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

stm32mp1-baremetal - Baremetal framework and example projects for the STM32MP15x Cortex-A7 based MPU

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

SI4735 - SI473X Library for Arduino

tensorflow - An Open Source Machine Learning Framework for Everyone

darknet - Convolutional Neural Networks

onnx2c - Open Neural Network Exchange to C compiler.

notepad2 - Notepad2-zufuliu is a light-weight Scintilla based text editor for Windows with syntax highlighting, code folding, auto-completion and API list for many programming languages and documents, bundled with file browser plugin metapath-zufuliu.

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

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