zhangminchao Goto Github PK

abu

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

advanced-java

😮 互联网 Java 工程师进阶知识完全扫盲

awesome-for-beginners

A list of awesome beginners-friendly projects.

awslambdaproxy

An AWS Lambda powered HTTP/SOCKS web proxy

awslogs

AWS CloudWatch logs for Humans™

blog

My Blog based on Github Issues.

cni

Container Network Interface - networking for Linux containers

cs-notes

😋 技术面试必备基础知识

easytrader

提供银河/国金/华泰客户端/同花顺客户端/雪球的基金、股票自动程序化交易以及自动打新，支持跟踪 joinquant /ricequant 模拟交易 和 实盘雪球组合, 量化交易组件

funcat

Funcat 将同花顺、通达信、文华财经麦语言等的公式写法移植到了 Python 中。

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。

knative

kodexplorer

A web based file manager,web IDE / browser based code editor

kubernetes-certified-administrator

Online resources that will help you prepare for taking the CNCF CKA "Kubernetes Certified Administrator" Certification exam. with time, This is not likely the comprehensive up to date list - please make a pull request if there something that should be added here.

kubernetes-handbook

Kubernetes中文指南/云原生应用架构实践手册 - https://jimmysong.io/kubernetes-handbook

mless

Mless - Run AWS Lambda triggered events locally

policy

project-based-learning

Curated list of project-based tutorials

qademo

QUANTAXIS 的示例demo

quantaxis

QUANTAXIS 股票/期货/自定义市场 数据/回测/模拟/交易/可视化 纯本地一站式解决方案

shadowsocks

backup of https://github.com/shadowsocks/shadowsocks

shadowsocks-go

go port of shadowsocks (Deprecated)

spring-boot

Spring Boot

springcloudlearning

《史上最简单的Spring Cloud教程源码》

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

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.

tensorflow

Computation using data flow graphs for scalable machine learning