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.
Why this job: matched by what the repo talks about: inference, gpu, engine, optimiz
What it does
The NVIDIA Data Loading Library (DALI) is a GPU-accelerated library for data loading and pre-processing to accelerate deep learning applications. It provides a collection of highly optimized building blocks for loading and processing image, video and audio data. It can be used as a portable drop-in replacement for built in data loaders and data iterators in popular deep learning frameworks.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 3 days ago
- Stars
- 5,794
- +3 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v2.4.0
- Released 17 days ago
- Built with
- C++
- 51% of the code
Is it looked after?
- Contributors
- 16
- Last 90 days
- Issues
- 90% closed
- 177 still open
- Pull requests
- 4,354 merged
- 71 waiting
- Releases
- 100
- 7 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics, project record and preview image
Languages
- C++ 51%
- Python 36%
- Cuda 9%
- CMake 2%
Topics
- fast-data-pipeline
- image-augmentation
- data-augmentation
- image-processing
- data-processing
- deep-learning
- machine-learning
- python
- neural-network
- gpu
- gpu-tensorflow
- audio-processing
Project record
- JobLocal LLMs
- StatusListed
- Commits4,471
- Forks690
- Watching87
- Stars in 28 days+23
- CreatedJun 1, 2018
- First seen by usNov 7, 2026
- CheckedNov 10, 2026