joshua-xia Goto Github PK
Name: Joshua Xia
Type: User
Bio: senior architect working on machine learning, quantitative trading, financial data analytics, proficient in java, python, js, android, ML etc framework
Location: China
Name: Joshua Xia
Type: User
Bio: senior architect working on machine learning, quantitative trading, financial data analytics, proficient in java, python, js, android, ML etc framework
Location: China
App to test strategies based on artificial intelligence for investing in the stock market.
Algo trading with strategy customization, genetic algorithm for hyper params optimizing, and backtesting.
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
**的Quant相关资源索引
soft-forking from openbilibili/go-common
Python Backtesting library for trading strategies
Scalable, event-driven, deep-learning-friendly backtesting library
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。
🧬learn DEAP, python lib for GA (not deep learning)
Algorithmic trading with deep learning experiments
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
深度学习入门教程, 优秀文章, Deep Learning Tutorial
MIT Deep Learning Book in PDF format
Deep Learning Book Chinese Translation
efinance 是一个可以快速获取基金、股票、债券、期货数据的 Python 库,回测以及量化交易的好帮手!🚀🚀🚀
This code illustrates the use of genetic programming to evolve financial trading strategies for a single equity stock. Individuals (strategies) are considered as functions of historical price data, outputting a position allocation. Strategy fitness evaluation is computed by simulating the strategy over historical financial data. Because financial i
:book: [译] 面向机器学习的特征工程
Advances in Financial Machine Learning
听说这是来自 https://github.com/openbilibili/go-common/ 的 “哔哩哔哩 bilibili 网站后台工程 源码”,不过咱也不知道这是啥。 据说 是他干的
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Contains all code related to using HMMs to predict stock market prices.
Notebooks and code for the book "Introduction to Machine Learning with Python"
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
《统计学习方法》的代码实现
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
This is the official implementation for AAAI-23 Oral paper "Are Transformers Effective for Time Series Forecasting?"
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.