kofybq Goto Github PK
Type: User
Type: User
Performance analysis of predictive (alpha) stock factors
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Python Backtesting library for trading strategies
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Desktop application of new Bing's AI-powered chat (Windows, macOS and Linux)
Free English to Chinese Dictionary Database
ffn - a financial function library for Python
Recipes for using Python's pandas library
Python Algorithmic Trading Library
Portfolio and risk analytics in Python
Python tdx数据接口
rainx_pytdx的备份
QUANTAXIS 支持任务调度 分布式部署的 股票/期货/自定义市场 数据/回测/模拟/交易/可视化 纯本地PAAS量化解决方案
Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
基于Python的开源量化交易平台开发框架
Zipline, a Pythonic Algorithmic Trading Library
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.