Commit Graph

5 Commits

Author SHA1 Message Date
Vijay Janapa Reddi
de5b7ec838 Simplify book directory structure
 Remove unnecessary nesting: book/tinytorch-course/ → book/
 Update all path references in scripts and workflows
 Cleaner development experience with shorter paths
 Book builds successfully with simplified structure

Changes:
- Move all book files up one directory level
- Update convert_modules.py paths
- Update GitHub Actions workflow paths
- Update book configuration paths
- Test confirms everything works correctly
2025-07-15 18:21:59 -04:00
Vijay Janapa Reddi
891ab98acd Implement interactive access with learning goals admonitions
 Add learning goals extraction with beautiful admonition blocks
 Create hybrid book approach (overview pages + interactive buttons)
 Generate both notebooks (Binder/Colab) and book pages
 Update GitHub Actions for main branch deployment
 All 14 modules now have consistent formatting

Features:
- Extract content from source files (no duplication)
- Interactive launch buttons (GitHub/Binder/Colab)
- Learning objectives as 🎯 tip admonitions
- Notebooks generated in-place for direct access
- Clean separation: dev → main → website deployment
2025-07-15 18:19:29 -04:00
Vijay Janapa Reddi
d2dcb60b98 fix: Update GitHub Actions workflow to trigger on dev branch
- Changed trigger from main to dev branch (repository default)
- Updated deploy condition to check for dev branch
- Ensures workflow runs on correct branch for this repository
2025-07-15 13:09:53 -04:00
Vijay Janapa Reddi
9860258643 feat: Update GitHub Actions workflow for raw export builds
- Add module conversion step before book building
- Install jupytext dependency for conversion script
- Maintains existing GitHub Pages deployment pipeline
- Automatically converts modules/source/ to notebooks on deploy
2025-07-15 12:51:32 -04:00
Vijay Janapa Reddi
036bfbd6fc 🚀 Set up Jupyter Book infrastructure for TinyTorch course
- Created interactive Jupyter Book structure in book/tinytorch-course/
- Configured for GitHub Pages, Binder, and Colab integration
- Set up automated deployment with GitHub Actions
- Designed comprehensive course structure with 4 main parts:
  * Foundation (Setup, Tensors, Activations)
  * Building Blocks (Layers, Networks, CNNs)
  * Training Systems (DataLoader, Autograd, Optimizers, Training)
  * Production & Performance (Compression, Kernels, Benchmarking, MLOps)
- Added engaging introduction with interactive features
- Ready for module conversion from *_dev.py to executable notebooks

Next: Convert modules/source/*_dev.py files to interactive chapters
2025-07-15 10:14:40 -04:00