embeddings-from-scratch

An end-to-end Word2Vec architecture (Skip-Gram with Negative Sampling) built entirely from scratch in PyTorch and deployed as an interactive, browser-based visualizer. Instead of treating embeddings as a black box the system exports intermediate checkpoints across training epochs.

Implement a simple Neural Network to extract image embeddings from scratch. More like an explore project to learn how things work under the hood.