muhoushaonian's repositories
KunQuant
A compiler, optimizer and executor for financial expressions and factors
expr_codegen
codegen from expression to others, such as polars, pandas
alpha_examples
alpha投研示例
QuantsPlaybook
量化研究-券商金工研报复现
qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
coding-interview
😀 代码面试题集，包括剑指 Offer、编程之美等
CTA_momentum
根据20170925-华泰期货-CTA量化策略因子系列（二）：动量因子研报进行复现
machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
bluefog
Distributed and decentralized training framework for PyTorch over graph
convertible_bond
可转债策略及量化回测
HanLP
中文分词 词性标注 命名实体识别 依存句法分析 语义依存分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理
CMLF
Contrastive Multi-granularity Learning for Stock Trend Prediction
Curriculum-Design-Sacramento-model-
流域水文模型在进行水文规律研究和解决生产实际问题中起着重要的作用，流域水文模型实际上是为模拟水文过程而建立的数学结构。当今水文模拟中概念水文模型应用极为广泛，概念性集总模型往往具有一定幅度的可调节性。模型对观测数据精度要求不很严格，且往往能输出良好的结果。在本课程设计中，我结合萨克拉门托模型和遗传算法为乐安河流域建立一个水文过程预测模型，并与实际径流过程进行对比分析，实践水文模型在实际工程背景下的应用。
sqlite
Unofficial git mirror of SQLite sources (see link for build instructions)
maopy
Multi-Agent Optimization in Python
awesome-algorithmic-trading
A curated list of awesome algorithmic trading frameworks, libraries, software and resources
AsySPA
An Exact Asynchronous Algorithm for Distributed Optimization Over Digraph
tools
some little useful tools
Learn-python
The status of learning python
simple-calculus-utility
two about intergral
mobile-internet
work
AnOptimizationBlogEntries
Source files of my Blog entries