Imylu
Pure Python implementation of machine learning algorithms
Install / Use
/learn @tushushu/ImyluREADME
What' new?
Unlike Imylu 0.1, Imylu 0.2 will be based on numpy and scipy to make the code simple and efficient.
What does imylu do?
Most of popular machine learning algorithms have been implemented by pure Python code in the project, which is specially recommended for people who would like to learn the algorithm details by reading Python code rather than lots of mathematical formulas. However, the necessary mathematical formulas and derivations are included in the code comments.
Imylu is compatible with: Python 3.6-3.7.
Why this name, imylu?
Chinese used to pronounce ML as [aimu'ailu], and the name imylu was inspired by this.
Folders guide

Related Skills
YC-Killer
2.7kA library of enterprise-grade AI agents designed to democratize artificial intelligence and provide free, open-source alternatives to overvalued Y Combinator startups. If you are excited about democratizing AI access & AI agents, please star ⭐️ this repository and use the link in the readme to join our open source AI research team.
groundhog
398Groundhog's primary purpose is to teach people how Cursor and all these other coding agents work under the hood. If you understand how these coding assistants work from first principles, then you can drive these tools harder (or perhaps make your own!).
last30days-skill
18.3kAI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
sec-edgar-agentkit
10AI agent toolkit for accessing and analyzing SEC EDGAR filing data. Build intelligent agents with LangChain, MCP-use, Gradio, Dify, and smolagents to analyze financial statements, insider trading, and company filings.
