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Awesome GitHub RepositoriesGPU-Accelerated Data Pipelines
Constructs sequences of data loading and preprocessing steps that run efficiently on the GPU.
Distinct from Data Preprocessing Pipelines: Distinct from Data Preprocessing Pipelines: specifically runs on GPU with operator fusion and kernel scheduling, not general CPU-based cleaning.
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Awesome GPU-Accelerated Data Pipelines GitHub Repositories
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- nvidia/dali
NVIDIA/DALI
5,713在 GitHub 上查看NVIDIA DALI is a GPU-accelerated data loading and preprocessing library designed for deep learning workflows. It constructs high-performance data pipelines that offload decoding, augmentation, and normalization to the GPU, eliminating CPU bottlenecks in training and inference. The library reads data from multiple storage formats and streams it directly into GPU memory, with support for multi-GPU execution to scale throughput across large-scale workloads. DALI distinguishes itself by enabling data pipelines to be built once and executed across multiple deep learning frameworks without code cha
Builds GPU-accelerated data loading and preprocessing pipelines that eliminate CPU bottlenecks.
C++audio-processingdata-augmentationdata-processing
