NVIDIA / nvImageCodec
A nvImageCodec library of GPU- and CPU- accelerated codecs featuring a unified interface
Why this job: matched by what the repo talks about: gpu, cpu, library, interface
What it does
The nvImageCodec is an open-source library of accelerated codecs with unified interface. It is designed as a framework for extension modules which delivers codec plugins.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 8 days ago
- Stars
- 164
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.10.0
- Released 8 days ago
- Built with
- Jupyter Notebook
- 80% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 55% closed
- 21 still open
- Pull requests
- 4 merged
- 7 waiting
- Releases
- 10
- 4 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| flashinfer-ai / flashinfer | 6,900 | today | Apache-2.0 | Linux |
| SemiAnalysisAI / InferenceX | 2,027 | today | Apache-2.0 | No downloads |
| ekzhang / resin | 426 | 7 days ago | Apache-2.0 | No downloads |
More: languages, topics and project record
Languages
- Jupyter Notebook 80%
- C++ 14%
- Python 4%
- CMake 1%
Topics
- computer-vision
- cpp
- cuda
- dali
- data-processing
- deep-learning
- fast-data-pipeline
- gpu
- image-processing
- machine-learning
- nvidia
- python
Project record
- JobLocal LLMs
- StatusListed
- Commits26
- Forks26
- Watching11
- Stars in 28 days+3
- CreatedOct 4, 2023
- First seen by usNov 7, 2026
- CheckedNov 8, 2026