NVIDIA / cuml
NVIDIA cuML: GPU-Accelerated Machine Learning
Why this job: works in the areas we cover, but does not say which job it does
What it does
NVIDIA cuML is an open-source CUDA-X Data Science library for GPU-accelerated machine learning. It provides two ways to run machine learning workloads on NVIDIA GPUs:
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 6 days ago
- Stars
- 5,321
- +5 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v26.10.00
- Released 35 days ago
- Built with
- Python
- 34% of the code
Is it looked after?
- Contributors
- 25
- Last 90 days
- Issues
- 78% closed
- 745 still open
- Pull requests
- 4,604 merged
- 47 waiting
- Releases
- 54
- 6 in the last year
- Contributing guide (opens in new tab)
- Security policy (opens in new tab)
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| rushter / MLAlgorithms | 11,183 | 44 days ago | MIT | No downloads |
| CVCUDA / CV-CUDA | 2,734 | 23 days ago | Custom | Linux |
| pytorch / TensorRT | 3,023 | yesterday | BSD-3-Clause | Windows, Linux |
More: languages, topics and project record
Languages
- Python 34%
- C++ 30%
- Cuda 26%
- Cython 8%
Topics
- machine-learning-algorithms
- machine-learning
- cuda
- gpu
- nvidia
Project record
- JobOther AI tools
- StatusListed
- Commits17,182
- Forks688
- Watching72
- Stars in 28 days+20
- CreatedOct 11, 2018
- First seen by usNov 7, 2026
- CheckedNov 10, 2026