kuxiu02's repositories
akshare
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
ansible-for-devops
Ansible examples from Ansible for DevOps.
awesome-cs-courses-zh
计算机公开课推荐
blog_
blog
diagrams
:art: Diagram as Code for prototyping cloud system architectures
effectivepython
Effective Python: Second Edition — Source Code and Errata for the Book
fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
GitHub-Chinese-Top-Charts
:cn: GitHub中文排行榜，帮助你发现高分优秀中文项目、更高效地吸收国人的优秀经验成果；榜单每周更新一次，敬请关注！
hackingtool
ALL IN ONE Hacking Tool For Hackers
helloflask
Flask Web 开发实战
linuxtools_rst
Linux工具快速教程
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
openstack
Repository tracking all OpenStack repositories as submodules. Mirror of code maintained at opendev.org.
编程电子书，电子书，编程书籍，包括C，C#，Docker，Elasticsearch，Git，Hadoop，HeadFirst，Java，Javascript，jvm，Kafka，Linux，Maven，MongoDB，MyBatis，MySQL，Netty，Nginx，Python，RabbitMQ，Redis，Scala，Solr，Spark，Spring，SpringBoot，SpringCloud，TCPIP，Tomcat，Zookeeper，人工智能，大数据类，并发编程，数据库类，数据挖掘，新面试题，架构设计，算法系列，计算机类，设计模式，软件测试，重构优化，等更多分类
PrettyErrors
Prettify Python exception output to make it legible.
pyautogui
A cross-platform GUI automation Python module for human beings. Used to programmatically control the mouse & keyboard.
pyscript
Home Page: https://pyscript.net Examples: https://pyscript.net/examples
Python
All Algorithms implemented in Python
rich
Rich is a Python library for rich text and beautiful formatting in the terminal.
salt
Software to automate the management and configuration of any infrastructure or application at scale. Get access to the Salt software package repository here:
scalene
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python
stock
stock，股票系统。使用python进行开发。
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
vnpy
基于Python的开源量化交易平台开发框架
walle-web
walle - 瓦力 Devops开源项目代码部署平台
YuBlog
person blog powered by flask