NVIDIA-Merlin / NVTabular
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
Why this job: matched by what the repo talks about: dataset, learn, data, bas
What it does
NVTabular is a feature engineering and preprocessing library for tabular data that is designed to easily manipulate terabyte scale datasets and train deep learning (DL) based recommender systems. It provides high-level abstraction to simplify code and accelerates computation on the GPU using the RAPIDS Dask-cuDF library.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 5 months ago
- Stars
- 1,154
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- Linux
- From the latest release
- Latest version
- v23.08.00
- Released 3 years ago
- Built with
- Python
- 97% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 75% closed
- 203 still open
- Pull requests
- 934 merged
- 11 waiting
- Releases
- 35
- 0 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 |
|---|---|---|---|---|
| Meesho / BharatMLStack | 716 | 7 months ago | Custom | No downloads |
More: download files, languages, topics and project record
Languages
- Python 97%
- C++ 2%
- Shell <1%
Topics
- deep-learning
- feature-engineering
- feature-selection
- gpu
- machine-learning
- nvidia
- preprocessing
- recommendation-system
- recommender-system
Project record
- JobEvals and observability
- StatusListed
- Commits1,079
- Forks151
- Watching28
- Stars in 28 days+1
- CreatedApr 3, 2020
- First seen by usNov 7, 2026
- CheckedNov 8, 2026