awesome-transformer-nlp

Why we included this project

For anyone getting oriented in the Transformer side of NLP, this hand-curated index collects the papers, tutorials, videos, and community code you would otherwise have to dig up yourself. The topic sections, from attention mechanisms and architecture to pretraining and specific tasks like named-entity recognition and question answering, let you jump straight to the material that matches your current project. It also pulls together official and community implementations across PyTorch, TensorFlow, and Keras, which helps when you want to go from reading a paper to running a reference model. As a reading guide and a pointer to repositories worth cloning, it saves time for developers and researchers mapping out the field.