wangyuanhong2 Goto Github PK

-js-2019-

几个自己写的Auto.js脚本

12306

12306智能刷票，订票

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

akshare

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

artificial-intelligence-for-trading

Content for Udacity's AI in Trading NanoDegree.

auto.js

A UiAutomator on android, does not need root access(安卓平台上的JavaScript自动化工具)

auto.pro

npm tools for auto.pro

autojsdemo

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

baruch-mfe-lab

Baruch MFE program quant lab

comphci-summer-school

easy12306

使用机器学习算法完成对12306验证码的自动识别

finance

Study resources for quantitative finance

financial-knowledge-graphs

小型金融知识图谱构建流程

financial-machine-learning

A curated list of practical financial machine learning tools and applications.

finlab

gpt-sovits

1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

hands-on-artificial-intelligence-for-banking

Hands-On Artificial Intelligence for Banking, published by Packt

imitation-learning-paper-lists

Paper Collection for Imitation Learning in RL.

ipythonfiles

iPython stuff

it-pdf-books

新版 1000 多本计算机电子书免费下载

loan-default-risk-modeling-and-prediction-using-ml-algorithms-from-lending-club

Fall 2016 Machine Learning with Dr. Brian Ziebart

lvvd

Listed Volatility and Variance Derivatives (Wiley Finance)

mats

Trading Strategies based on the gap between Implied and Realized Volatility: A machine learning approach

max-causal-ent-irl

Maximum Causal Entropy Inverse Reinforcement Learning

mediacrawler

小红书笔记 | 评论爬虫、抖音视频 | 评论爬虫、快手视频 | 评论爬虫、B 站视频 ｜ 评论爬虫、微博帖子 ｜ 评论爬虫

medium_notebook

Repository containing notebooks of my posts on Medium

ml-in-fixed-income-factor-investing

Final project for "Machine Learning" course at Software University; completed on 27 November 2020

ml_finance_codes

Machine Learning in Finance: From Theory to Practice Book

mlfinlab

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.