The most popular Python library for Machine Learning with extensive documentation and community support.
67.9kupdated today1.9.1
imbalanced-learn
scikit-learn-contrib/imbalanced-learnGeneral
Resampling techniques for imbalanced datasets, compatible with scikit-learn.
- machine-learning
- python
- statistics
- data-science
- data-analysis
More in Machine Learning
A pretrained foundation model from Google Research for time-series forecasting, with non-commercial default weights.
34.8kupdated 25d ago3.0.0
xgboostC++ core
A scalable, portable, and distributed gradient boosting library.
28.9kupdated 1d ago3.4.2
A tool for producing forecasts for time series with multiple seasonality and trend changes.
20.5kupdated 2d ago1.5.0
lightgbmC++ core
A fast, distributed, high performance gradient boosting framework.
18.9kupdated today4.7.0
A hyperparameter optimization framework with define-by-run search spaces and pruning of unpromising trials.
15kupdated 1d ago5.0.0
A unified scikit-learn-style framework for forecasting and other time-series learning tasks.
10.1kupdated 1d ago1.2.0
catboostC++ core
A fast, scalable, high performance gradient boosting on decision trees library.
9.2kupdated today1.2.10