An Open Source Machine Learning Framework for Everyone

Open Source Computer Vision Library

Caffe: a fast open framework for deep learning.

Cross-platform, customizable ML solutions for live and streaming media.

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

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba. Full multimodal LLM Android App:[MNN-LLM-Android](./project/android/apps/MnnLlmA…

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

(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design

header only, dependency-free deep learning framework in C++14

基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

Caffe: a fast open framework for deep learning.

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…

Tengine is a lite, high performance, modular inference engine for embedded device

The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.

A static code analyzer for C++, C#, Lua

Low-precision matrix multiplication

A primitive library for neural network

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

FeatherCNN is a high performance inference engine for convolutional neural networks.

This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors.

🔥 (yolov3 yolov4 yolov5 unet ...)A mini pytorch inference framework which inspired from darknet.

this repository is the implementation of MTCNN with no framework, Just need opencv and openblas, support linux and windows

ppl.cv is a high-performance image processing library of openPPL supporting various platforms.

Supervised Descent Method Apply to Face Alignment, and Head Pose Estimation with Linear Regression. It is cross-platfrom, easily compile in windows, ubuntu, even in Android & iOS.

Kernelized Correlation Filter tracker

use ncnn in Android and iOS, ncnn is a high-performance neural network inference framework optimized for the mobile platform