Top 2.3% downloads on pypi.org
Top 1.1% dependent packages on pypi.org
Top 3.4% dependent repos on pypi.org
Top 2.3% forks on pypi.org
Top 3.3% docker downloads on pypi.org
pypi.org : cleanlab
The standard package for data-centric AI, machine learning with label errors, and automatically finding and fixing dataset issues in Python.
Registry
-
Source
- Homepage
- Documentation
- JSON
purl: pkg:pypi/cleanlab
Keywords:
machine_learning
, data_cleaning
, confident_learning
, classification
, weak_supervision
, learning_with_noisy_labels
, unsupervised_learning
, datacentric_ai
, datacentric
, active-learning
, annotation
, data-centric-ai
, data-cleaning
, data-curation
, data-labeling
, data-profiling
, data-quality
, data-science
, data-validation
, dataops
, dataquality
, datasets
, exploratory-data-analysis
, labeling
, llms
, noisy-labels
, out-of-distribution-detection
, outlier-detection
, weak-supervision
License: Other
Latest release: about 2 months ago
First release: over 6 years ago
Dependent packages: 11
Dependent repositories: 19
Downloads: 36,401 last month
Stars: 10,446 on GitHub
Forks: 822 on GitHub
Docker dependents: 1
Docker downloads: 11
Total Commits: 1192
Committers: 33
Average commits per author: 36.121
Development Distribution Score (DDS): 0.403
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Last synced: 11 days ago
GSA_kwCzR0hTQS04Y205LXJyZ2MtNHBjas4AA_fv
Cleanlab Deserialization of Untrusted Data vulnerabilityEcosystems: pypi
Packages: cleanlab
Source: github
Published: 7 months ago