Tensor2Tensor (T2T) is a library of deep learning models and datasets created by the Google Brain team to make deep learning more accessible. It provides predefined models, datasets, and training routines that researchers can use to quickly prototype and experiment with various deep learning architectures across domains including machine translation, image classification, and reinforcement learning.