2 Repos
Awesome GitHub RepositoriesGPU-Accelerated Data Loaders
Decodes and augments images, videos, and speech on the GPU to reduce data access latency and training time.
Distinct from Data Loading: Distinct from Data Loading: focuses on GPU-accelerated decoding and augmentation for ML training pipelines, not loading JSON into a UI editor.
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Awesome GPU-Accelerated Data Loaders GitHub Repositories
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- nvidia/isaac-gr00t
NVIDIA/Isaac-GR00T
6,222Auf GitHub ansehenDecodes and augments images, videos, and speech to reduce data access latency and training time.
Jupyter Notebook - nvidia/dali
NVIDIA/DALI
5,713Auf GitHub ansehenNVIDIA 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
Reads from multiple storage formats and streams data directly into GPU memory for deep learning workloads.
C++audio-processingdata-augmentationdata-processing
