Reatris's repositories
Visualizing-and-Understanding-Convolutional-Networks
paddlepaddle框架 论文复现（CNN特征可视化）+VGG16猫脸分类（动态图）
Capsule_Net
Geoffrey Hinton，深度学习的开创者之一，反向传播等神经网络经典算法的发明人，2017年10月发表了论文，介绍了全新的胶囊网络模型，以及相应的囊间动态路由算法。本人用Paddle框架实现了它
PaddleStudio
Prediction program based on paddlepadle framework C and RPC
DeepLearing_Origin
本仓库是根据《深度学习入门基于python的原理实现》一书的代码实现
PaddleDetection
Object detection and instance segmentation toolkit based on PaddlePaddle.
PaddleDetection-FAQ
This repo would collect the frequent FAQ.
-AutoEncoder
自编码器是一种无监督学习的方法，本文将带你走进4种自动编码器
ChatRWKV
ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.
chineseocr
yolo3+ocr
DeepFaceLab
DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work standalone Windows 7,8,10 binary (look readme.md).
face.evoLVe.PyTorch
🔥🔥High-Performance Face Recognition Library on PyTorch🔥🔥
facenet
Face recognition using Tensorflow
HowToLiveLonger
程序员延寿指南 | A programmer's guide to live longer
iresnet
Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
jQuery-File-Upload.MVC5
Simple implementation of Blueimp jQuery File Upload Plugin using ASP.NET MVC5
lab
save imgae
PaddleX_studio
A paddlex deep learning desktop application, including the functions of target detection, image segmentation, classification, automatic annotation
SmartStoreNET
Open Source ASP.NET MVC Ecommerce Shopping Cart Solution
StarGAN-Voice-Conversion
This is a pytorch implementation of the paper: StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks
text-detection-ctpn
text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network
thomas-yanxin
My GitHub profile README which is automatically updated. Please ⭐️ if you like it
Total-Text-Dataset
Total Text Dataset. It consists of 1555 images with more than 3 different text orientations: Horizontal, Multi-Oriented, and Curved, one of a kind.
YiShaAdmin
基于 .NET Core MVC 的权限管理系统，代码易读易懂、界面简洁美观。演示版 https://yishasoft.com/admin