Google Deep Learning Notes(TensorFlow教程)
[译]如何做好一枚程序员
Chromium中文文档,学习google家的架构
CVPR2018: Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatio-temporal Patterns
Gitbook based Blog, Android, Linux, Deep Learning, Computer Vision
Google机器学习教程笔记(基础版)
a baseline for baidu dog classification competition.
Keras based Person reid siamese network and learning to rank based transfer learning
Raspberry Pi NCS Object detection
除了Streak,我们还能做什么
学着造轮子,学着用轮子
西瓜书概念整理
无纸化办公实践
集体智慧编程笔记
翻译一些比较好的论文
A guide on how to be a Programmer - originally published by Robert L Read
:books: 技术面试需要掌握的基础知识整理
京东猪脸识别比赛
Spatio-temporal pattern contruct and model fusion
知识太多是因为死亡太慢,也就是自然选择的力量不够
视频服务器后端Java
2018年机器阅读理解技术竞赛总结,国内外1000多支队伍中BLEU-4评分排名第6, ROUGE-L评分排名第14。(未ensemble,未嵌入训练好的词向量,无dropout)
Deep Learning Book Chinese Translation
持续更新一些编程开发的好书,也欢迎你的分享!
Android 素描应用
Chinese keras documents with more examples, explanations and tips.
gitbook导出的静态网站
用树莓派感知行人
get grid index
简单的信息统计系统
TensorFlow document from github
Rasp reid backend
Pytorch implement of Person re-identification baseline. We arrived Rank@1=88.24%, mAP=70.68% only with softmax loss. Re-ranking is added.
微信公众号爬虫
sota of reid model
My blogs and code for machine learning. http://cnblogs.com/pinard
Training code for "Associative Embedding: End-to-End Learning for Joint Detection and Grouping"
自己做的一些app,求体验
A Discriminatively Learned CNN Embedding for Person Re-identification
Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval(CVPR2018)
Spring、SpringMVC、MyBatis、Spring Boot案例
ahang的python代码库
HotTub
逐鹿,知识与思想的碰撞
微信课程设计:联系人管理应用
kotlin 官方文档翻译
(ICCV 2019) Official implementation of "MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation" in PyTorch
Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation
TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
(JavaEE开发的颠覆者 Spring Boot实战)spring-boot实战随书源码—汪云飞
覃健祥的学习笔记,各种几十分钟入门的文档
沁原的硅谷创新课
CVPR2016 UMDL code
Models and examples built with TensorFlow
Reference models and tools for Cloud TPUs.
Source code and datasets of "CANE: Context-Aware Network Embedding for Relation Modeling"
The project is official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
fast library for ANN search and KNN graph construction
Pytorch implementation of FlowTrack (Simple Baselines for Human Pose Estimation and Tracking).
Experimental ground for optimizing memory of pytorch models
COCO API - Dataset @ http://cocodataset.org/
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification (https://arxiv.org/pdf/1711.07027.pdf). CVPR2018
learning notes or ...
RayTracer from the ground
translate and renew words
The implementation of AAAI-17 paper "Collective Deep Quantization of Efficient Cross-modal Retrieval"
The implementation of CVPR-17 paper "Deep Visual-Semantic Quantization of Efficient Image Retrieval"
用Tensorflow实现的DBN
java leetcode
Latex/Lyx templates for the thesis specifications of South China University of Technology (SCUT,华南理工大学)
A Capsule Implement with Pure Keras
深度学习
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
simple backend
Process dataset for object counting
Counting CNN and Hydra CNN
Person Re-ranking (CVPR 2017)
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
for you
Piwik is an open alternative to Google Analytics. This fork follows the facts. Pull requests are welcome.
dcgan,wgan and improved wgan implementation by tensorflow
Vehicle detection using YOLO in Keras runs at 21FPS
QQBot: A conversation robot base on Tencent's SmartQQ
Extra batteries for Keras
猫狗大战
Easy Machine Learning
An elegent Android Client for Github. 不仅仅是Github客户端,而且是一个发现优秀Github开源项目的app
tensorflow dnn model for caltech
slides with gitpitch
Markdown Presentations For Everyone on GitHub, GitLab and Bitbucket.
Caltech pedestrian dataset data extraction code.
This is a fork from Zhaowei's MSCNN. This fork contains testing scripts for Caltech Pedestrian dataset writen in Python
Gene_Expression_Programming
Learn how to design large scale systems. Prep for the system design interview.
Chinese translation of the Github Help(https://help.github.com/index.html) and the other article collection. 《Github 帮助文档》 中文翻译(包含了官方文档以及其他文章)。
华南理工APP集成接口文档
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Domain Guided Dropout for Person Re-identification
My home page, consists of .org and .html files.
自动化调参器
把一些想法记录在这里然后试着去实现
Neural style in TensorFlow! :art:
华南理工大学高英实验室进行的分布式爬虫项目
基于scapy的scutclient,使用python实现,适用于原来的翼起来客户端
Something happens on Android.
A material-design Hacker News Android reader
The Pokemon Go Bot, baking with community.
乌云公开漏洞、知识库爬虫和搜索 crawl and search for wooyun.org public bug(vulnerability) and drops
An easier to share version of the infamous http://mindprod.com/jgloss/unmain.html
A community for front-end-developer.
Tensorflow-based Recommendation systems
Convolutional Neural Networks for Visual Recognition in Stanford
A Google Chrome extension to view IPython notebooks from GitHub.
Assignments for the Udacity deep learning course.
Example projects for Project Tango Java API
amazing
A curated list of deep learning resources for computer vision
Pili Live Streaming player SDK for Android, RTMP and HLS supported.
一个基于Material Design Support Library的一个开源学习项目
维护联系人应用
:musical_note: A third-party DoubanFM Android client.
app for STU which contains lots of practice
PocketHub Android App
Open source version of jianliao.com
A app client for Github
编程语言 | 排名 | 好于 | 星星数 |
---|---|---|---|
CSS | 17 | 99.97% | 1855 |
Python | 136 | 99.85% | 2245 |
C++ | 1652 | 97.26% | 31 |
HTML | 2338 | 97.30% | 9 |
Java | 7290 | 91.63% | 13 |