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-quantopian_research_public

Quantitative research and educational materials

advancepython

笔记-Python高级编程和异步IO并发编程

apachecn-python-zh

asp

PHBS Applied Stochastic Processes Course Website

avellaneda-stoikov

Python code for High-frequency trading in a limit order book by Marco Avellaneda and Sasha Stoikov

awesome-quant

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

barra-model

An internship project: Implement Barra model to take risk or style factor attribution based on multi-factor model.

book5_essentials-of-probability-and-statistics

Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；完成25章草稿。草稿还会经过至少两轮修改，改动会很大，大家注意下载最新版本。请多提意见，谢谢

book6_first-course-in-data-science

Book_6_《数据有道》 | 鸢尾花书：从加减乘除到机器学习；开始上传本册20章稿件，稿件很糙，还会大改两轮。欢迎大家提意见哈，注意下载最新版本

book7_visualization-for-machine-learning

《机器学习》，上传部分草稿，2023年会继续上传稿件。欢迎大家提意见哈，注意下载最新版本

bypass-paywalls-chrome

Bypass Paywalls web browser extension for Chrome and Firefox.

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

cpp-primer-plus-6th

《C++ Primer Plus 第6版（中文版）》原书代码、习题答案和个人笔记，仅供学习和交流。

cpp_primer_practice

搞定C++:punch:。C++ Primer 中文版第5版学习仓库，包括笔记和课后练习答案。

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。

datasciencestudynotes

这个仓库保管从（数据科学学习手札69）开始的所有代码、数据等相关附件内容

demo_barra

Implementation of several permutations of the popular Barra-style risk model using statsmodels.

factoranalytics

financial-machine-learning

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

gfwlist

The one and only one gfwlist here

hello-algo

《Hello 算法》：动画图解、一键运行的数据结构与算法教程，支持 Python, C++, Java, C#, Go, Swift, JS, TS, Dart, Rust, C, Zig 等语言。English edition ongoing

indexoptionhft

latex-cookbook

LaTeX论文写作教程 (中文版)

libpku

贵校课程资料民间整理

lihang-code

《统计学习方法》的代码实现

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

machinelearning_python

机器学习算法python实现

mastering-python-for-finance

Mastering Python for Finance