TinyTorch/modules

TinyTorch Modules Directory

This directory contains student-facing Jupyter notebooks for learning ML systems from scratch.

📦 Module Structure

Each module directory contains:

• {module}_dev.py - Jupytext Python file (source of truth)
• {module}.ipynb - Jupyter notebook (auto-generated)
• README.md - Module overview and learning objectives

🔄 How Modules Are Created

Modules are automatically exported from src/ using the following workflow:

1. Source notebooks live in src/{module}/ as .ipynb files
2. Run export: tito system export {module} or nbdev_export
3. Auto-generated files appear in modules/{module}/

The src/ directory is where development happens. The modules/ directory is what students use.

📚 Available Modules

Modules will be populated as you complete the TinyTorch learning path:

• ✅ 01_tensor - Tensor fundamentals and operations
• ✅ 02_activations - Activation functions (ReLU, Sigmoid, etc.)
• ✅ 04_losses - Loss functions for training
• ✅ 06_optimizers - Optimization algorithms (SGD, Adam, etc.)
• 🔒 Additional modules unlock as you progress...

🚀 Getting Started

1. Check module status: tito module status
2. Start a module: tito module start 01
3. Work on the module: Opens Jupyter Lab automatically
4. Complete the module: tito module complete 01

Each module builds on previous ones, creating a complete ML framework from scratch!