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A high-performance neural network training interface for TensorFlow focused on speed, flexibility, and reproducible research.
A library of optimized communication primitives for multi-GPU and multi-node collective operations.
An open-source library for training and deploying deep learning recommendation models with sparse data at scale using multi-GPU support.
A modular, high-throughput PyTorch framework for deep reinforcement learning research, supporting policy gradient, deep Q-learning, and Q-function policy gradient algorithms.
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