TNN VS mace

Compare TNN vs mace and see what are their differences.

TNN

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework. (by Tencent)
Deep Learning mnn Ncnn Inference Pytorch Tensorflow Coreml Tensorrt tengine Openvino face-detection hairsegmentaion OCR
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mace

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms. (by XiaoMi)
Deep Learning neural-network Opencl Neon hvx Machine Learning
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TNN mace
1 1
4,281 4,876
1.1% 0.5%
2.5 2.8
10 days ago 13 days ago
C++ C++
GNU General Public License v3.0 or later 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.
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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.

TNN

Posts with mentions or reviews of TNN. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-06.

mace

Posts with mentions or reviews of mace. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-06.

What are some alternatives?

When comparing TNN and mace 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

Stable-Diffusion-NCNN - Stable Diffusion in NCNN with c++, supported txt2img and img2img

ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform

libfacedetection - An open source library for face detection in images. The face detection speed can reach 1000FPS.

pytorch_dlprim - DLPrimitives/OpenCL out of tree backend for pytorch

EAST - A tensorflow implementation of EAST text detector

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

FastDeploy - ⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.

Simd - C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, VMX(Altivec) and VSX(Power7) for PowerPC, NEON for ARM.

dlstreamer - This repository is a home to Intel® Deep Learning Streamer (Intel® DL Streamer) Pipeline Framework. Pipeline Framework is a streaming media analytics framework, based on GStreamer* multimedia framework, for creating complex media analytics pipelines.

PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

TNN vs MNN mace vs MNN TNN vs Stable-Diffusion-NCNN mace vs ncnn TNN vs libfacedetection mace vs pytorch_dlprim TNN vs EAST mace vs CNTK TNN vs FastDeploy mace vs Simd TNN vs dlstreamer mace vs PaddlePaddle