rossichan Goto Github PK

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rossichan's Projects

8puzzels-

BFS DFS Astar hill_climb simulated_annealing

argon-dashboard-django

Argon Dashboard - Django Template | Creative-Tim

bfs-dfs

用python实现广度优先搜索和宽度优先搜索。队列和栈的结构均用collections提供的双端队列deque()实现

bottom-up-attention.pytorch

A PyTorch reimplementation of bottom-up-attention models

everydaywechat

A wechat robot can auto reply and send sweety messages to your lover!

A wechat robot can auto reply and send sweety messages to your lover! Choose your black color in your terminal in your set. In order to make it keep running , once step you can input "sudo python3 run.py" and scanf the QR code ,then the second step you can input "sudo nohup python3 run.py" in the back stage. To kill the process ,you can look for the progress by "ps -ef | grep python" in ahead, then use "kill PID(for example 13086)"

examonline

Python在线考试系统后端-大学毕业设计-基于Django+Django -Rest-Framework

facemoji

use Dlib to capture facelandmark to update the moji of liv2d in Unity

faceswap

This is the code behind the Switching Eds blog post: http://matthewearl.github.io/2015/07/28/switching-eds-with-python/ See the above for an explanation of the code below. To run the script you'll need to install dlib (http://dlib.net) including its Python bindings, and OpenCV. You'll also need to obtain the trained model from sourceforge: http://sourceforge.net/projects/dclib/files/dlib/v18.10/shape_predictor_68_face_landmarks.dat.bz2 Unzip with `bunzip2` and change `PREDICTOR_PATH` to refer to this file. The script is run like so: ./faceswap.py <head image> <face image> If successful, a file `output.jpg` will be produced with the facial features from `<head image>` replaced with the facial features from `<face image>`.

faceswap2.0

use Face++ API

fortemplate

dashboard

genetic-algorihtms-sloves-8-queeens-and-tsp

geneticalgorithmswithpython

source code from the book Genetic Algorithms with Python by Clinton Sheppard

kaggle-

kaggle-data-mining

kugou-spider-use-flask

之前写过qq音乐的爬虫，如果想下载无损音质的音乐比较困难，如果没有会员权限始终无法获取到，最后退而求其次，只能下载普通音质。近期看了下酷狗音乐，发现其无损音质和高品质音乐的链接都可以分析出来。全网搜索了一下，找到几个大神做的项目，重新进行复刻和改善，形成了这个项目。主要是搭建Flask框架，构建一个搜索引擎。

microblog

to test my Flask project in tencent cloud use ubnutu

music-search

Apache2+PHP7.0 just for Rossi Chan

opencv

Open Source Computer Vision Library

resume

1分钟构建个人的在线简历

test_phone

帮助小涵童鞋做的测试

titanic-data-mining

## 数据挖掘流程 **（一）数据读取** - 读取数据，并进行展示 - 统计数据各项指标 - 明确数据规模与要完成的任务 **（二）特征理解分析** - 单特征分析，逐个变量分析其对结果的影响 - 多变量统计分析，综合考虑多种情况影响 - 统计绘图得出结论 **（三）数据清洗与预处理** - 对缺失值进行填充 - 特征标准化/归一化 - 筛选有价值的特征 - 分析特征之间的相关性 **（四）建立模型** - 特征数据与标签准备 - 数据集切分 - 多种建模算法对比 - 集成策略等方案改进

rossichan Goto Github PK

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