A personal ML learning journal with multiple PDFs on advanced topics, focusing on LLMs, GNNs, and interpretability. Hosted as a GitHub repository with no license listed and no releases yet.
Collecting history — the radar snapshots this repo daily. The trend line appears after 3 days of data (1 so far).
What it is
A GitHub repository serving as a personal journal for learning advanced machine learning topics. It includes notes and links to several PDF resources on topics such as LLMs, LLM Hallucination, LLM edges beyond attention, GNNs, AlphaFold 3, and natural language processing.
How it works
The README references a structured set of notes and assets stored in the repo, with a directory of Days/ containing topic-specific content. It provides direct links to PDFs and images in the assets folder for quick access to documents like "Build an LLM from Scratch", "LLM Hallucination", and others.
Getting started
"Getting started" steps are not explicitly listed in the README excerpt. However, you can follow the Table of Content guidance and access the Days folder and assets to view specific resources. The README includes links to resources and a Days folder structure:
- Days Folder (Days/) contains topics such as Day 003 to Day 016 for LLMs, Day 017 to Day 022 for GNNs, and Day 23 for AlphaFold.
Recent releases
RELEASES (latest 0):
- none
Traction
stars: 2364 forks: 254 open_issues: 0
Behind the repo
Not provided in the excerpt. No startup or company linkage is mentioned.
Caveats
license: none listed created: 2024-09-18 last_push: 2025-09-08 language: Jupyter Notebook