AIinMinutes/Data-and-AI-Concepts

AIinMinutes/Data-and-AI-Concepts has 166 GitHub stars and 17 forks. GitHot measured 0 stars in 24 hours and 0 in 7 days. Last checked 2026-11-11 00:18 UTC. Last push 2026-09-12.

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This repository contains Data & AI concepts covered on my Threads page.

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README.md

Original

Data, Stats, and AI Concepts

This repository is a curated collection of data, stats, and AI concepts drawn from highly cited research papers. Each note is a short, runnable Marimo notebook: the idea, the math, and a small experiment.

Currently working on: TabICLv2 — a tabular foundation model for in-context learning (classification and regression).

Notes are published at learnaiinminutes.com.

Running the notebooks

Dependencies are managed with uv. Python 3.10–3.12 is required. From the repo root:

uv sync

That creates .venv and installs everything, including Marimo.

uv run marimo edit
# or a single file:
uv run marimo edit notebooks/fundamentals/applied-statistics/acf_and_pacf.py

notebooks/fundamentals/programming/optimization/cudf.py additionally needs Linux + CUDA 12:

uv pip install --extra-index-url https://pypi.nvidia.com cudf-cu12 "polars[gpu]"

Fundamentals

Notes that are not tied to a specific paper live in notebooks/fundamentals/. They cover stats, ML, deep learning, and generative-AI primitives.

Paper-specific work (starting with TabICLv2) will sit next to that folder.

Contributing

Contributions are welcome. Open an issue or a pull request if you have a concept, a paper, or a fix.

License

Code is licensed under the MIT License.
Content (text, explanations, visualizations) is licensed under Creative Commons Attribution 4.0 (CC BY 4.0). You may reuse it with attribution.

See LICENSE.md.