Overview
The TensorFlow Model Garden is a repository containing various implementations of state-of-the-art (SOTA) machine learning models and modeling solutions built with TensorFlow. It aims to provide TensorFlow users with practical examples and best practices for modeling, enabling them to fully leverage TensorFlow in their research and product development. The repository includes models maintained and supported by both TensorFlow developers and researchers. It offers a range of models, from official implementations optimized for performance to research models exploring new techniques. The Model Garden provides training logs on TensorBoard.dev for many models, enhancing transparency and reproducibility. It supports customized training loops, integrating seamlessly with tf.distribute for diverse device types (CPU, GPU, TPU).