GH Repository · hemansnation
AI-Engineer-Headquarters
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
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Jupyter Notebookragagent-appllm-securityllm-inferencellmpythonpytorchaiengineeringmachine-learningdata-structures-and-algorithmsmlopsnatural-language-processingstatisticsai-agentsllm-evaluationlangchaindeep-learningailanggraph
AI-Engineer-Headquarters is a Jupyter Notebook repository that bills itself as a collection of scientific methods, processes, algorithms, and systems for building stories and models. Its topics cover machine learning, deep learning, PyTorch, NLP, statistics, MLOps, and an LLM/agentic stack including LangChain, LangGraph, RAG, LLM evaluation, inference, and security.
Reach for it when you want a single notebook-based reference spanning classic ML foundations through LLM and agent engineering practices.
Use it to
- Study ML and deep learning fundamentals in notebooks
- Explore LangChain and LangGraph agent patterns
- Review RAG and LLM evaluation techniques
- Examine LLM security and inference topics
- Reference MLOps and statistics material
For AI and machine learning engineers learning applied LLM workflows
- Role
- agent-app
- Language
- Jupyter Notebook
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- 699
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- 10
- Last push
- 2026-09-14
topicsmachine-learningllmai-agentslangchainragmlops