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100-Days-Of-ML-Code中文版
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Mostly experiments based on "Advances in financial machine learning" book
Auto encoder for time series
AGI has been achieved externally
Use unsupervised and supervised learning to predict stocks
Common Lisp implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
最忠实于CTP官方API特性、最低延时、最易使用的Python版量化投资开源框架。
A collection of code snippets that can be constructed into larger trading algorithms.
Performance analysis of predictive (alpha) stock factors
High performance datastore for time series and tick data
Fast job queuing and RPC in python with asyncio and redis.
ASTRIDE: Adaptive Symbolization for Time Series Databases
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
🔬 Machine learning strategies and useful tools use in financial market.
A curated list of awesome algorithmic trading frameworks, libraries, software and resources
bert nlp papers, applications and github resources, including the newst xlnet , BERT、XLNet 相关论文和 github 项目
A curated list of awesome Common Lisp frameworks, libraries and other shiny stuff.
:books: List of awesome university courses for learning Computer Science!
A curated list of awesome Dash (plotly) resources
List of awesome resources for machine learning-based algorithmic trading
A curated list of awesome Flask resources and plugins
resources for graph convolutional networks (图卷积神经网络相关资源)
A curated list of MXNet examples, tutorials and blogs.
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
An index of algorithms for offline reinforcement learning (offline-rl)
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A curated list of awesome Python frameworks, libraries, software and resources
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
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.