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My ongoing learning projects (spanning multiple domains).

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Learning

My ongoing learning projects, spanning multiple domains. Each top-level folder is a self-contained project with its own notes, code, and (where relevant) its own setup instructions.

Structure

Most top-level folders are independent projects. The exception is self-paced/, which collects finished study books — each one a complete course in numbered markdown modules with its own exercise companion.

learning/
├── self-paced/           # Finished study books (one folder per course)
│   ├── neural-networks/
│   └── rust-for-csharp-engineers/
├── neural-networks/      # Neural network experiments and notes
├── artificial-intelligence/
├── data/                 # Shared datasets (MNIST, ...)
└── ...                   # Additional projects added over time

Planned/possible areas of exploration include:

  • AI & ML — neural networks, classical machine learning, LLMs, agents, RAG
  • Languages — exercises and small projects in Rust, Python, Go, etc.
  • Systems & tooling — anything else worth learning by building

Study books

Each book under self-paced/ follows the same shape: a README.md front door, a SETUP.md with the exact toolchain, a 00-START-HERE.md orientation, then numbered narrative modules and an exercises/ companion with worked answers. Every module index carries per-module time estimates and a total.

Book Topic Time
self-paced/neural-networks/ Neural networks, from the perceptron to the Transformer, with a PyTorch companion. ~55–60 h
self-paced/rust-for-csharp-engineers/ Rust for senior .NET engineers — language core, ecosystem crates, and a shipped CLI capstone. ~55–60 h

Current projects

Folder Description
neural-networks/ Neural network experiments and notes (e.g., MNIST learning plan).
artificial-intelligence/ AI/LLM study plans and collected resources.
data/ Datasets shared across projects.

Conventions

  • Each project lives in its own top-level folder named in kebab-case.
  • Each project is self-contained: dependencies, build/run instructions, and notes belong inside the project folder (typically in its own README.md).
  • Folders may mix languages, frameworks, and tools — there is no shared build system at the repo root.

License

See LICENSE.

About

My ongoing learning projects (spanning multiple domains).

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