overfittingstudyroom Goto Github PK
Type: Organization
Type: Organization
My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:
30天自制C++服务器,包含教程和源代码
A simple trade strategy based on volatility by selling call option and longing future. It's my second project during my internship at citic securities.
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
A Python toolkit for rule-based/unsupervised anomaly detection in time series
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
The book <Advanced Algorithmic Trading> and its source code
快速上手Ai理论及应用实战:基础知识、ML、DL、NLP-BERT、竞赛。含大量注释及数据集,力求每一位能看懂并复现。
An algorithmic trading robot written in Python.
AlgoPlus 2.0是使用c++语言开发的用于全市场交易的SDK,提供c++/python/java接口。
The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.
异步事件驱动/量化交易/做市系统/策略研究/策略回测
factor performance visualization
Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.
A python library for visualizing Artificial Neural Networks (ANN)
Anomaly detection related books, papers, videos, and toolboxes
ARK is a lightweight, agile, elastic, distributed plugin framework written in C++,make it easier and faster to create your own application service.
Simple thread-based asynchronous TCP & UDP Socket classes in C++.
Automated Trader (at). This is a framework for building trading bots.
Automated Tool for Optimized Modelling
C++ lockless queue.
AtsPy: Automated Time Series Models in Python (by @firmai)
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
Using data analytics of popular trading strategies and indicators, to identify best trading actions based solely on the price action.
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.