《算法导论》第三版中算法的C++实现

C++ implementation of the Python Numpy library

Awesome resources of yousan.ai(closely related to deep learning).

Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.

Demo and other Python3 code

paper implement

deep learning for image processing including classification and object-detection etc.

A simplified implemention of Faster R-CNN that replicate performance from origin paper

Hands-On GPU Accelerated Computer Vision with OpenCV and CUDA, published by Packt

🍅 Deploy ncnn on mobile phones. Support Android and iOS. 移动端ncnn部署，支持Android与iOS。

用python 实现一个简单的深度学习框架

利用YOLOv3结合行人重识别模型，实现行人的检测识别，查找特定行人

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

⛹️ Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

Implementing Siamese networks with a contrastive loss for similarity learning

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

Mobile-LPR 是一个面向移动端的准商业级车牌识别库，以NCNN作为推理后端，使用DNN作为算法核心，支持多种车牌检测算法，支持车牌识别和车牌颜色识别。

Implement Statistical Learning Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现

video stream hardware decoding and color space conversion by ffmpeg and cuda. thread safe.

基于Yolov5车牌检测,更快更准.

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

Jittor and Pytorch code for paper "Deep Hough Transform for Semantic Line Detection" (ECCV 2020, PAMI 2021)

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

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

AutoKernel 是一个简单易用，低门槛的自动算子优化工具，提高深度学习算法部署效率。

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

基于pytorch的ocr算法库，包括 psenet, pan, dbnet, sast , crnn

yolov3 with mobilenet v2 and ASFF

OpenCV Python Computer Vision Examples used for Teaching

caffe-ssd for face, head and vehicle detection