hesamsheikh/ml-retreat
A personal journal documenting learning of advanced ML topics including LLMs, mechanistic interpretability, GNNs, and NLP through study notes.
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This repository is a personal machine learning learning journal covering intermediate to advanced topics. It includes detailed study notes on building LLMs from scratch, LLM hallucination, mechanistic interpretability, graph neural networks, AlphaFold3, and natural language processing fundamentals. Content is organized as daily learning sessions with compiled PDF notes and visual resources for each subject area.
Frequently asked
- What is hesamsheikh/ml-retreat?
- A personal journal documenting learning of advanced ML topics including LLMs, mechanistic interpretability, GNNs, and NLP through study notes.
- Is ml-retreat open source?
- Yes — hesamsheikh/ml-retreat is an open-source project tracked on heatdrop.
- What language is ml-retreat written in?
- hesamsheikh/ml-retreat is primarily written in Jupyter Notebook.
- How popular is ml-retreat?
- hesamsheikh/ml-retreat has 2.4k stars on GitHub.
- Where can I find ml-retreat?
- hesamsheikh/ml-retreat is on GitHub at https://github.com/hesamsheikh/ml-retreat.