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DL Frameworks
Deep Learning Frameworks Deep learning (DL) frameworks offer building blocks for designing, training, and validating deep neural networks through a high-level programming interface. Widely-used DL frameworks, such as PyTorch, JAX, TensorFlow, PyTorch Geometric, DGL, and others, rely on GPU-accelerated libraries, such as cuDNN, NCCL, and DALI to deliver high-performance, multi-GPU-accelerated train
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GitHub - zer0n/deepframeworks: Evaluation of Deep Learning Frameworks
