Andy Zhang's repositories
free-programming-books-zh_CN
免费的计算机编程类中文书籍，欢迎投稿
Programming-Foundations-with-Python
Udacity Programming Foundations with Python Projects
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
cpi-groovy-examples
Groovy Script Examples for SAP Cloud Integration (CPI)
flarum
Delightfully simple forum software.
hello-algo
《Hello 算法》：动画图解、一键运行的数据结构与算法教程，支持 Python, C++, Java, C#, Go, Swift, JS, TS, Dart, Rust, C, Zig 等语言。English edition ongoing
light-admin
Pluggable CRUD and data administration UI library for Java web applications developed in a "Rapid" manner
lightweight-charts-python
Python framework for TradingView's Lightweight Charts JavaScript library.
Projects_Scrapy
This a scrapy project collecting millions of personal information from LinkedIn
quant-trading
Python quantitative trading strategies including Pattern Recognition, CTA, Monte Carlo, Options Straddle, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
roambi-java-sdk
Roambi Software Development Kit (SDK) gives a set of JAVA client libraries and documentations to help you develop apps that integrates with Roambi via Roambi API. The core functionality of Roambi API is to push and publish formatted data into Roambi visualizations.
robin_stocks
This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at
robinhood-portfolio
Portfolio analyzer for Robinhood accounts
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.
Sunshine-Version-2
The official repository for Developing Android Apps
tensorflow
Computation using data flow graphs for scalable machine learning
weixin_crawler
高效微信公众号全部历史文章和阅读数据爬虫powered by scrapy 微信公众号爬虫 微信采集 公众号采集 微信爬虫