google-research/big_vision

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Big Vision This codebase is designed for training large-scale vision models using Cloud TPU VMs or GPU machines. It is based on Jax/Flax libraries, and uses tf.data and TensorFlow Datasets for scalable and reproducible input pipelines. The open-sourcing of this codebase has two main purposes: Publishing the code of research projects developed in this codebase (see a list below). Providing a strong starting point for running large-scale vision experiments on GPU machines and Google Cloud TPUs, which...