scikit-learn/scikit-learn
scikit-learn: machine learning in Python
66189 stars
Python
3 awesome lists
scikit-learn-contrib/imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
- Stars
- 7,105
- Forks
- 1,347
- Commits
- 902
- Language
- Python
- Awesome lists
- 1
Similar repositories
dialnd/imbalanced-algorithms
Python-based implementations of algorithms for learning on imbalanced data.
241 stars
Python
1 awesome list
fairlearn/fairlearn
A Python package to assess and improve fairness of machine learning models.
2241 stars
Python
1 awesome list
HumanCompatibleAI/imitation
Clean PyTorch implementations of imitation and reward learning algorithms
1748 stars
Python
1 awesome list
scikit-learn-contrib/metric-learn
Metric learning algorithms in Python
1434 stars
Python
1 awesome list
AmazaspShumik/sklearn-bayes
Python package for Bayesian Machine Learning with scikit-learn API
524 stars
Jupyter Notebook
2 awesome lists
Tracked growth
4 captures since 2026-05-22
Latest capture 2026-06-02 07:32
Stars history
Total starsCommits history
Default branch commitsDetected stack
Frameworks and tools
- pytest · test framework · high confidence
PEP 517
Dependency files
-
pyproject.toml· python · 31 dependencies
Metadata
- Created: 2014-08-16
- First commit: 2014-08-16
- Last pushed: 2026-04-13
- Website: https://imbalanced-learn.org
- Archived: no
- Stack detected: 2026-06-02 07:32
- License: MIT
AI development signals
No AI development config files detected.