Juruobudong

@juruobudong

Juruobudong 暂无简介

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    Juruobudong / PaddleNLP forked from PaddlePaddle / PaddleNLP

    Easy-to-use and powerful NLP library with Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications (Neural Search/QA/IE/Sentiment Analysis)

    Juruobudong / PaddleClas forked from PaddlePaddle / PaddleClas

    飞桨图像分类套件PaddleClas是飞桨为工业界和学术界所准备的一个图像分类任务的工具集,助力使用者训练出更好的视觉模型和应用落地

    Juruobudong / Serving forked from PaddlePaddle / Serving

    A flexible, high-performance carrier for machine learning models(『飞桨』服务器端部署库)

    Juruobudong / FastDeploy forked from PaddlePaddle / 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.

    Juruobudong / shijiulvjianzhangmeishibang

    食酒旅舰长美食榜单

    Juruobudong / insightface

    Face Analysis Project on MXNet

    Juruobudong / TensorRT

    TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

    Juruobudong / AI换脸

    Juruobudong / zipkin

    Zipkin is a distributed tracing system

    Juruobudong / DBNet.pytorch

    A pytorch re-implementation of Real-time Scene Text Detection with Differentiable Binarization

    Juruobudong / pspnet-tf2

    这是一个pspnet-tf2的源码,可以用于训练自己的模型。

    Juruobudong / unet-keras

    这是一个unet-keras的源码,可以用于训练自己的模型。

    Juruobudong / MFC-SimpleGobang

    用MFC对话框(而非单文档)编写的五子棋游戏,代码对初学者友好,内含可执行文件可直接下载运行(Simple Gobang Program,or called it Five-in-a-raw)

    Juruobudong / WuZiQi

    基于C++ MFC实现的五子棋游戏,包括棋盘棋子绘制、输赢判定、新游戏、悔棋和修改棋盘背景样式等功能。

    Juruobudong / retinanet-keras

    这是一个retinanet-keras的源码,可以用于训练自己的模型。

    Juruobudong / keras-face-recognition

    这是一个基于mtcnn和facenet的人脸识别模型,可实现在线人脸识别。

    Juruobudong / retinaface-tf2-1

    这是一个retinaface-tf2的源码,可以用于训练自己的模型。

    Juruobudong / mobilenetV2-arcfaceloss-keras-tflite

    归纳了用mobilenet加arcfaceloss训练模型的keras框架,并提供将模型转为八位tflite的脚本

    Juruobudong / retinaface-tf2

    RetinaFace (Single-stage Dense Face Localisation in the Wild, 2019) implemented (ResNet50, MobileNetV2 trained on single GPU) in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

    Juruobudong / Pytorch_Retinaface

    Retinaface get 80.99% in widerface hard val using mobilenet0.25.

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