This repository aggregates machine learning and deep learning models implemented in TensorFlow for various NLP problems. It provides simplified Jupyter Notebook implementations of attention mechanisms, sequence-to-sequence models, LSTMs, and transformer-like architectures across 335 models. The project covers tasks like abstractive and extractive summarization, neural machine translation, OCR, speech-to-text, text classification, and topic modeling.