ppxgz's starred repositories
museair-cpp
A high-performance, non-cryptographic hashing algorithm written in C++. MuseAir offers fast, efficient hashing optimized for large datasets, with competitive performance compared to other popular algorithms like WyHash and RapidHash. Cross-platform support with thorough benchmarking.
leetcode-master
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
kama-DesignPattern
卡码网-23种设计模式精讲，每种设计模式都配套代码练习题，支持 Java，CPP，Python，Go🔥
OrtInference
Using OnnxRuntime to inference yolov10,yolov10+SAM and yolov10+bytetrack by c++ .
Sapphire-EnhancedDesktop
Windows桌面取代软件
tensorRT_Pro
C++ library based on tensorrt integration
objectdetection_script
一些关于目标检测的脚本的改进思路代码，详细请看readme.md
Real-time-Traffic-and-Pedestrian-Counting
Real-time Traffic and Pedestrian Counting (YOLOV3 in tensorflow2)
nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
CTC-loss-introduction
介绍ctc算法原理以及numpy简单实现
plate_detection_recognization
plate detection recognization
OpenCV-Practical-Exercise
OpenCV practical exercise
Surface-Defect-Detection
📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.
DeepLearning-500-questions
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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Train_Custom_Dataset
标注自己的数据集，训练、评估、测试、部署自己的人工智能算法
Bert-VITS2-Integration-train-txt-infer
适配windows的requirements.txt，加了个长文本分段推理和手机听书的api，非本专业，屎山代码
Bert-VITS2-Speech
Bert-VITS2 onnx推理版本
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
torch_backbones
Unofficial implementations of some classical CNN backbones with pytorch
PyTorch-Networks
Pytorch implementation of cnn network
go-nihongo
日本语语法快速参考手册
pytorch-YOLO-v1
an experiment for yolo-v1, including training and testing.
lihang-code
《统计学习方法》的代码实现
awesome-cs-books
计算机优质电子书整理，并且附带pdf下载链接，包括C，C++，Java，Python，Java，Linux，Go，数据结构与算法，人工智能，计算机基础，面试，设计模式，数据库，前端等