D
DALI
NVIDIA/DALI
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
★5.7kstars
C++
Apache-2.0
Updated: Today
📋 Project at a Glance
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What's this?A open-source Data & Infrastructure project, built with C++, focusing on audio-processing and data-augmentation
Who made it?Maintained by NVIDIA team, 5.7K⭐ on GitHub, #321 out of 3133 in Data & Infrastructure
Why does it exist?The NVIDIA team recognized that existing audio-processing tools in Data & Infrastructure were hard to use. DALI was designed to make data-augmentation more accessible.
What can it do?Key use cases: data-processing, deep-learning, fast-data-pipeline
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/NVIDIA/DALI | 官网 https://docs.nvidia.com/deeplearning/dali/user-guide/docs/index.html
🔗 github.com/NVIDIA/DALI | 官网 https://docs.nvidia.com/deeplearning/dali/user-guide/docs/index.html
Topics
audio-processingdata-augmentationdata-processingdeep-learningfast-data-pipelinegpugpu-tensorflowimage-augmentationimage-processingmachine-learningmxnetneural-networkpaddlepythonpytorch