Treasure-of-Transformers

Why we included this project

Treasure-of-Transformers is a hand-curated index of major NLP transformer models, with each entry in the table pointing to the original paper, an explainer blog, a video walkthrough, the official repository, and a Colab notebook. That makes it a useful study map if you want to trace how attention-based models evolved from the original Transformer through BERT, GPT, T5, BART, and newer architectures without digging each resource out yourself. The practical payoff is that every row takes you from the paper to a notebook you can open and run, which helps when you are reproducing results or comparing how different models are built. Keep in mind it is a reading list rather than a library you import, so treat it as a starting point for learning and for finding the canonical codebases and tutorials behind each model.