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PDF Guide
Paper
MLSysBook
Support
Star
Community

🚀 Getting Started

Welcome
Big Picture
Quick Start

🏗 Foundation Tier (01-08)

📖 Tier Overview
01. Tensor
02. Activations
03. Layers
04. Losses
05. DataLoader
06. Autograd
07. Optimizers
08. Training

🏛️ Architecture Tier (09-13)

📖 Tier Overview
09. Convolutions
10. Tokenization
11. Embeddings
12. Attention
13. Transformers

⏱️ Optimization Tier (14-19)

📖 Tier Overview
14. Profiling
15. Quantization
16. Compression
17. Acceleration
18. Memoization
19. Benchmarking

🏅 Capstone Competition

📖 Competition Overview
20. Torch Olympics

🛠️ TITO CLI Reference

Command Overview
Module Workflow
Milestone System
Progress & Data
Developer Testing
Troubleshooting

📚 Reference

Datasets Guide
Learning Resources

🤝 Community

Team
Ecosystem
Acknowledgments

Index

By Prof. Vijay Janapa Reddi (Harvard University)

© Copyright 2025 Harvard University.