yanyuema Goto Github PK

followers: 2.0 following: 1.0 repos: 83.0 gists: 0.0

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yanyuema's Projects

-dlib-

基于Dlib库的人脸表情分析与识别，四人小组，共同完成，开发周期7天，结题完善报告两天，完成时间2019年7月11日，已申请软件著作权

188jianzhan

188建站由辽宁微时光科技有限公司自主研发，已获得计算机软件著作权证书，现开源第一版，第一版遵循GPL 3.0协议开源。

a-deep-reinforcement-learning-network-for-traffic-light-cycle-control

A Deep Reinforcement Learning Network for Traffic Light Cycle Control

ai-blog

Accompanying repository for Let's make a DQN / A3C series.

aipic

在MFC下开发一款基于Caffe的图像识别、分类、去重软件，软件已申请著作权保护，但允许个人研究免费使用，若涉及商业活动请联系我们：[email protected]

airline

项目描述：使用python语言开发了一个显示航班航线的可视化系统，主要实现查询航班信息，航线显示信息，显示航班晚点率。项目职责：采用python开发了航线显示模块，在《智能计算机与应用》2019 年第 9 卷第 3 期上发表论文《基于航班数据可视化系统的设计与实现》，并申请软件著作权《基于echarts库的航班信息可视化系统》，登记号2019R11S0348072。

algorithmsbypython

算法/数据结构/Python/剑指offer/机器学习/leetcode

android_design_patterns_analysis

Android源码设计模式分析项目

blockchain

区块链 - 中文资源

cityflow

A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

colight

CoLight: Learning Network-level Cooperation for Traffic Signal Control

concurrent-programming

:cactus:《实战java高并发程序设计》源码整理

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cs-books

超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

cve-2019-0708

Scanner PoC for CVE-2019-0708 RDP RCE vuln

cve-2019-7238

🐱‍💻 Poc of CVE-2019-7238 - Nexus Repository Manager 3 Remote Code Execution 🐱‍💻

cve-2019-7239

Nexus Repository Manager 3 Remote Code Execution without authentication < 3.15.0

deep-learning-21-examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-q-learning

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

deep-qlearning-agent-for-traffic-signal-control

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize the traffic efficiency.

deep-reinforcement-learning-for-dynamic-spectrum-access

Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication

deep-rl-tensorflow

TensorFlow implementation of Deep Reinforcement Learning papers

deeplearning-500-questions

deepqn_tensorflow

Unfinished. Deep Q Learning in Tensorflow for ATARI.

deeprl_network

multi-agent deep reinforcement learning for networked system control.

deeprl_signal_control

multi-agent deep reinforcement learning for large-scale traffic signal control.

designpattern

📚 Java 23种设计模式全归纳

designpatterns

C++ 设计模式

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