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android-universalmusicplayer

This sample shows how to implement an audio media app that works across multiple form factors and provide a consistent user experience on Android phones, tablets, Auto, Wear and Cast devices

android_data

Some Android learning materials, hoping to help you learn Android development.

android_homework

book

Book PDF

books

caffe

Caffe: a fast open framework for deep learning.

caffe-vdsr

A Caffe-based implementation of very deep convolution network for image super-resolution

contrastprior

The Code of Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection(CVPR2019)

crawler4j

Open Source Web Crawler for Java

deep-crowd-counting_crowdnet

An independent implementation of "CrowdNet: A Deep Convolutional Network for Dense Crowd Counting"

deep-residual-networks

Deep Residual Learning for Image Recognition

deepface

Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.

dlcv_for_beginners

example codes for the book

fdde

heritrix3

Heritrix is the Internet Archive's open-source, extensible, web-scale, archival-quality web crawler project.

nlpcaffe

natural language processing with Caffe

nutch

Mirror of Apache Nutch

opencl-caffe

This is a Experimental version of OpenCL by AMD Research, we now recommend you to use The official BVLC Caffe OpenCL branch is over at Caffe branch now at https://github.com/BVLC/caffe/tree/opencl

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

qix

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

seimicrawler

一个敏捷的，分布式的爬虫框架;An agile, distributed crawler framework.

store

通过https://www.bilibili.com/video/BV1bf4y1V7Bx?spm_id_from=333.337.search-card.all.click&vd_source=9ebb73ca3565866011c8bebbe784c90c学习spring boot + mybatis

uncommon-datasets-caffe

use uncommon datasets on caffe,such as cifar100 and SVHN

xcrawler

xcrawler is a light-weight web crawler framework based on the Python requests library.