youngxiao

youngxiao

Geek Repo

Location:Shenzhen,China

Home Page:https://youngxiao.github.io

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youngxiao's starred repositories

SlimYOLOv3

This page is for the SlimYOLOv3: Narrower, Faster and Better for UAV Real-Time Applications

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netron

Visualizer for neural network, deep learning and machine learning models

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awesome-object-detection-repositories

Awesome Object Detection Repositories based on https://github.com/amusi/awesome-object-detection

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interview

📚 C/C++ 技术面试基础知识总结,包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

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PocketFlow

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

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caffe

Caffe for Sparse and Low-rank Deep Neural Networks

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channel-pruning

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

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DepthwiseConvolution

A personal depthwise convolution layer implementation on caffe by liuhao.(only GPU)

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PingLinju.github.io

PingLi's Tech Blog

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awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

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MobileNetv2-SSDLite

Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.

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GOLOv2

YOLOv2 for Golang

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darknet2caffe

Convert Darknet model to Caffe's

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Chinese-UFLDL-Tutorial

[UNMAINTAINED] 非监督特征学习与深度学习中文教程,该版本翻译自新版 UFLDL Tutorial 。建议新人们去学习斯坦福的CS231n课程,该门课程在网易云课堂上也有一个配有中文字幕的版本。

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daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

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caffe

Caffe: a fast open framework for deep learning.

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darknet

darknet深度学习框架源码分析:详细中文注释,涵盖框架原理与实现语法分析

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mAP

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

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darknet

Convolutional Neural Networks

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focal-loss

Focal loss for Dense Object Detection

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RetinaNet

Focal loss for Dense Object Detection

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Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

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learnopencv

Learn OpenCV : C++ and Python Examples

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Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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GoCNN

using CNN to do move prediction and board evaluation for the board game Go

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deeplearningbook-chinese

Deep Learning Book Chinese Translation

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zhunfan.github.io

Zhun Fan 范衠

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