From Scratch: Sparse Mixture-of-Experts Router in PyTorch
This project implements a sparse mixture-of-experts router with learned gating and top-k expert selection, demonstrating practical deep learning systems skills.
This project implements a sparse mixture-of-experts router with learned gating and top-k expert selection, demonstrating practical deep learning systems skills.
Learn to code a LoRA adapter from scratch in PyTorch, enabling efficient transformer fine‑tuning and a standout CV project for engineering roles.
This tutorial walks you through building a top‑k gated mixture-of-experts router in PyTorch, giving you a concrete portfolio piece that demonstrates model architecture, sparse routing, and system‑level scaling.
Learn to build a self-supervised adapter that maps any embedding to a similarity-preserving space, with production-ready PyTorch code.
A hands‑on guide to building a fused low‑rank LoRA fine‑tuning engine from scratch, with runnable PyTorch code, architecture diagrams, and production‑ready extensions.