dholzmueller / pytabkit
ML models + benchmark for tabular data classification and regression
Why this job: says: benchmark
What it does
PyTabKit provides scikit-learn interfaces for modern tabular classification and regression methods benchmarked in our paper, see below. It also contains the code we used for benchmarking these methods on our benchmarks.
Get started
pip install pytabkit[models]- Maintenance
- Active
- Last commit 8 days ago
- Stars
- 403
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.7.3
- Released 10 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 75% closed
- 8 still open
- Pull requests
- 9 merged
- 2 waiting
- Releases
- 9
- 2 in the last year
- No contributing guide
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Python 100%
- Shell <1%
Topics
- deep-learning
- deep-neural-networks
- deeplearning
- machine-learning
- tabular
- tabular-data
- tabular-data-package
- tabular-methods
- tabular-model
Project record
- JobEvals and observability
- StatusListed
- Commits116
- Forks40
- Watching5
- Stars in 28 days+7
- CreatedJul 4, 2024
- First seen by usNov 7, 2026
- CheckedNov 8, 2026