Y.J's repositories
backtrader
Python Backtesting library for trading strategies
machine-learning-asset-management
Machine Learning in Asset Management (by @firmai)
Temporal_Relational_Stock_Ranking
Code for paper "Temporal Relational Ranking for Stock Prediction"
Time-Series-ARIMA-XGBOOST-RNN
Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN
ant-design
🌈 A UI Design Language and React UI library
awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
Barra_CNE6
Barra CNE6 因子构建
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
Coursera-ML-using-matlab-python
coursera吴恩达机器学习课程作业自写Python版本+Matlab原版
document-style-guide
中文技术文档的写作规范
HIST
The implementation of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information".
incubator-superset
Apache Superset (incubating) is a modern, enterprise-ready business intelligence web application
inside-zipline
深入了解zipline回测框架
learning2rank
Learning to rank with neuralnet - RankNet and ListNet
mean_variance_optimization
根据均值方差理论优化fof组合资产配比并进行回测
notes
个人笔记
pandas-profiling
Create HTML profiling reports from pandas DataFrame objects
pyltr
Python learning to rank (LTR) toolkit
pymarkowitz
Mean Variance (Markowitz) Portfolio Optimization and Beyond
Recurrent-Independent-Mechanisms
Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)
RIMs
Code for "Recurrent Independent Mechanisms"
Statistical-Learning-Methods
Implement Statistical Leanring Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现
vnpy
基于Python的开源量化交易平台开发框架