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...A flexible and lightweight library that users can easily use or fork when writing customized training loop code in TensorFlow 2.x. It seamlessly integrates with tf.distribute and supports running on different device types (CPU, GPU, and TPU).
Go! is a framework that enables development of user space device drivers in Linux. Go! allows Linux device drivers to be written using UML and C++, and deployed in user space with minimal effects on performance.