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Machine Learnings

An exploration into understanding how machines learn.

Some of this code is written by me, others are pulled from internet resources. I claim no ownership for code that wasn't written by me.

Getting started

This project uses uv for dependency management.

uv sync

Then run scripts with uv run, e.g.:

uv run python agents/agents.py

Projects

  • Regressions - statistical, parametric, regression-based
  • Transformers - transformer, self-attention

Notebooks

These projects largely use Jupyter notebooks to demonstrate their functionality alongside prose that explains the code.

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An exploration into understanding how machines learn.

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