Foundations / Attention / Neural Networks
From Scratch
Personal reference repository for foundational AI models, attention mechanisms, neural networks, and VLM fine-tuning notes.
Technical Highlights
- Includes direct Python implementations of attention models and attention mechanisms.
- Uses notebooks to explore neural-network math and small model behavior from first principles.
- Tracks VLM fine-tuning experiments alongside foundational AI references.
- Uses uv-based setup for a reproducible local Python environment.
Stack
Python, Jupyter notebooks, uv, attention implementations, neural-network experiments, and VLM fine-tuning notes.