How to Use TensorFlow Model Garden for Vision and NLP Projects

The TensorFlow Model Garden is Google’s open-source hub for high-performance machine learning models in vision and NLP, offering both official and research implementations. It provides a powerful training experiment framework, specialized ML operations, and Orbit for streamlined custom training loops. Whether benchmarking, replicating research, or building new models, developers can leverage GPUs, TPUs, and TensorFlow 2.x APIs to accelerate experimentation and production-ready deployment.