FastDeploy VS useful-transformers

Compare FastDeploy vs useful-transformers and see what are their differences.

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. (by PaddlePaddle)
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FastDeploy useful-transformers
5 2
2,705 308
1.9% 9.1%
7.5 5.7
12 days ago 8 days ago
C++ C++
Apache License 2.0 GNU General Public License v3.0 only
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.

FastDeploy

Posts with mentions or reviews of FastDeploy. We have used some of these posts to build our list of alternatives and similar projects.

useful-transformers

Posts with mentions or reviews of useful-transformers. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing FastDeploy and useful-transformers you can also consider the following projects:

mmdeploy - OpenMMLab Model Deployment Framework

CTranslate2 - Fast inference engine for Transformer models

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.

bergamot-translator - Cross platform C++ library focusing on optimized machine translation on the consumer-grade device.

tensorRT_Pro - C++ library based on tensorrt integration

htm.core - Actively developed Hierarchical Temporal Memory (HTM) community fork (continuation) of NuPIC. Implementation for C++ and Python

deepdetect - Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

iNeural - A library for creating Artificial Neural Networks, for use in Machine Learning and Deep Learning algorithms.

jetson-inference - Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

maps-core - The lightweight and modern Map SDK for Android and iOS

OnnxStream - Lightweight inference library for ONNX files, written in C++. It can run SDXL on a RPI Zero 2 but also Mistral 7B on desktops and servers.

rkflashtool - Tools for flashing Rockchip devices