Projects & Thoughts
A collection of my recent live projects, tutorials, and computational explorations.
Collection
16 Projects
Foundational Architectures
The canonical building blocks of modern deep learning — from backpropagation and optimizers to the architectures (CNNs, RNNs, ResNets, Transformers, GPT) that the entire field is built on.
Collection
17 Projects
Frontier Architectures
Novel paradigms and alternative approaches that challenge conventional neural network design — from state space models and bio-inspired computing to LoRA, CLIP, NeRF, and Diffusion Transformers.