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.
Speed up the preparation of data for deep learning by using optimized tools for processing images, videos, and audio.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeA GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
DALI has 5.7k stars on GitHub. It has been forked 669 times. DALI is written mainly in C++. It has been in active development since 2018. DALI is available under the Apache-2.0 license. Its main topics are audio-processing, data-augmentation, data-processing, deep-learning.
What is 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.
Is DALI open source?
DALI is an open-source project. It is released under the Apache-2.0 license.
Is DALI free?
Yes. DALI is free and open source — you can use, modify and self-host it.
What license does DALI use?
DALI is available under the Apache-2.0 license.
What language is DALI written in?
DALI is written mainly in C++.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/nvidia-dali.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.