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An opinionated list of awesome Python frameworks, libraries, software and resources.
坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
Barra-Multiple-factor-risk-model
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
使用Python复现Black-Litterman模型。Black-Litterman模型创造性地采用贝叶斯方法将投资者对预期收益的主观看法与资产的市场均衡收益相结合,有效地解决了Markowitz均值-方差模型中投资者难以准确估计各个投资品种预期收益率、以及其权重对预期收益率的极度敏感性这两大问题。本项目使用美国市场2009年-2019年十年间的10只股票数据进行回测,证明了合理观点对资产…
An internship project: Implement Barra model to take risk or style factor attribution based on multi-factor model.
北京大学软件与微电子学院硕士生课程知识点、作业等汇总【Summary of Knowledge Points and Assignments of Peking University Integrated Circuit Major Courses】
Efficiently computes derivatives of NumPy code.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
Time series forecasting with PyTorch
The Bayesian Estimation, Analysis and Regression toolbox (BEAR) is a comprehensive (Bayesian Panel) VAR toolbox for forecasting and policy analysis.
google data analytics professional certificate
🤖 Machine Learning Summer School Guide
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Python Data Science Handbook: full text in Jupyter Notebooks