hesamsheikh/ml-retreat resource

Health v2 · maintenance only

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Adoption not part of the score

2371 stars · 252 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A personal learning journal of intermediate-to-advanced machine learning topics, maintained as Jupyter notebooks and PDF study notes. It covers LLMs from scratch, hallucination, attention mechanisms, graph neural networks, and mechanistic interpretability with curated reading lists.

Use cases

• study advanced machine learning topics with structured notes
• learn how large language models work from scratch
• understand LLM hallucination and attention mechanisms
• get an introduction to graph neural networks
• follow a curated list of must-read ML research papers
• find supplementary resources for deep learning study
• review notes on AlphaFold 3 and NLP fundamentals

When to choose

• you want well-organized study notes on intermediate/advanced ML and LLM topics
• you prefer learning from curated papers, videos, and annotated notebooks
• you want a structured day-by-day curriculum for self-study

When to avoid

• you need production-ready ML code or libraries
• you want a complete formal course with exercises and grading
• you need beginner-level introductory ML tutorials

Facets

learning-resource · maturity active

documentation machine-learning nlp machine-learning deep-learning large-language-models tutorials data-science python study-notes llm transformers graph-neural-networks mechanistic-interpretability jupyter-notebooks learning-journal

Member repositories

For agents

markdown · JSON · MCP: product_card(name="hesamsheikh/ml-retreat")