Pinned Repositories
2020-legacycode-studygroup
Resources for the 2020 legacy code study group
8ComicDownloaderElectron
8Comic下載器:一個從8Comic網站下載漫畫的簡單程式,並以GitHub's Electron為開發架構,支援Windows/Linux/Mac,最新版本下載位址:https://github.com/wellwind/8ComicDownloaderElectron/releases
abu
阿布量化交易系统(股票,期权,期货,比特币,机器学习)
adaptive-forex-forecast
An adaptive model for prediction of one day ahead foreign currency exchange rates using machine learning algorithms
Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Advanced-Deep-Trading
Mostly experiments based on "Advances in financial machine learning" book
AFML
All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.
AI-writer_Data2Doc
PyTorch Implementation of NBA game summary generator.
rapid-java-persistence-and-microservices
Source Code for 'Rapid Java Persistence and Microservices' by Raj Malhotra
mingsc's Repositories
mingsc/rapid-java-persistence-and-microservices
Source Code for 'Rapid Java Persistence and Microservices' by Raj Malhotra
mingsc/Advanced-Deep-Trading
Mostly experiments based on "Advances in financial machine learning" book
mingsc/alpaca_tech_screener
mingsc/angular7-with-bootstrap
mingsc/baseballr
A package written for R focused on baseball analysis. Currently in development.
mingsc/Binary-Option-Pricing
Currency Binary Option Pricing with 3 methods and implied smile
mingsc/cloud-native-book-demos
Cloud Native Samples. Cloud Native 案例大全/《Cloud Native 分布式架构原理与实践》示例源码
mingsc/cqrs-workshop
Sample project for CQRS workshop leaded by me.
mingsc/DataCamp-Projects
Datacamp practice projects
mingsc/ddd-workshop
Materials for our DDD training
mingsc/Deep-Reinforcement-Learning-Book
書籍「つくりながら学ぶ!深層強化学習」のサポートリポジトリです
mingsc/ebooks
books of it tech
mingsc/Hands-On-Machine-Learning-for-Algorithmic-Trading
Hands-On Machine Learning for Algorithmic Trading, published by Packt
mingsc/IDDD_Samples
These are the sample Bounded Contexts from the book "Implementing Domain-Driven Design" by Vaughn Vernon: http://vaughnvernon.co/?page_id=168
mingsc/Introduction-to-Time-Series-forecasting-Python
Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.
mingsc/JavaGuide
【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
mingsc/liyu_pdf
learning
mingsc/practical-microservices-architectural-patterns
Source Code for 'Practical Microservices Architectural Patterns' by Binildas Christudas
mingsc/Prediction-in-Stock-Market-Based-on-SVM
ML Scikit-learn
mingsc/programmer_math
程序员的数学三本书
mingsc/py4fi2nd
Jupyter Notebooks and codes for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.
mingsc/pybaseball
Pull current and historical baseball statistics using Python (Statcast, Baseball Reference, FanGraphs)
mingsc/spring-boot-vuejs-websockets
✔️ Simple spring-boot vue.js app with websockets and docker support
mingsc/spring-ddd-bank
A sample project following Domain Driven Design with Spring Data JPA
mingsc/Stock-Forecast
Stock Market Prediction using Support Vector Machine
mingsc/stock-rnn
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
mingsc/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.
mingsc/StockSentimentTrading
Algorithmic Trading using Sentiment Analysis on News Articles
mingsc/Swift-30-Projects
30 mini Swift Apps for self-study
mingsc/zhirui1994.github.io