glemaitre / imbalanced-learn
Python module to perform under sampling and over sampling with various techniques.
☆39Updated 3 months ago
Alternatives and similar repositories for imbalanced-learn:
Users that are interested in imbalanced-learn are comparing it to the libraries listed below
- Bayesian Optimization using xgboost and sklearn API☆226Updated 8 years ago
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆487Updated 7 years ago
- Just some of my kaggle scripts☆88Updated 9 years ago
- Advanced Scikit-learn training session☆118Updated 8 years ago
- Some small utility modules to help with pandas, numpy and sklearn usage in other projects☆183Updated last year
- ☆160Updated 8 years ago
- A new version of phraug, which is a set of simple Python scripts for pre-processing large files☆206Updated 6 years ago
- A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.☆211Updated 7 years ago
- Scikit-learn API toy wrapper for Regularized Greedy Forests☆44Updated 8 years ago
- Material for ODSCON San Francisco 2015☆79Updated 9 years ago
- Library for machine learning stacking generalization.☆117Updated 5 years ago
- dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml☆240Updated 6 years ago
- ☆190Updated last year
- A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.☆199Updated last year
- Tutorial teaching the basics of Keras and some deep learning concepts☆104Updated 8 years ago
- A library for factorization machines and polynomial networks for classification and regression in Python.☆245Updated 4 years ago
- greedy feature selection based on ROC AUC☆125Updated 10 years ago
- scikit-learn compatible projects☆410Updated 2 years ago
- Some sample IPython notebooks for scikit-learn☆567Updated last year
- Code to share different ensemble techniques with focus on meta-stacking , using data from Amazon.com - Employee Access Challenge kaggle c…☆222Updated 8 years ago
- Python implementation of stacked generalization classifier. Plays nice with sklearn.☆71Updated 8 years ago
- PCA that iteratively replaces missing data☆221Updated last year
- Wabbit Wappa is a full-featured Python wrapper for the Vowpal Wabbit machine learning utility.☆101Updated 7 years ago
- Use evolutionary algorithms instead of gridsearch in scikit-learn☆772Updated last year
- optimization routines for hyperparameter tuning☆418Updated last year
- A garden for scikit-learn compatible trees☆286Updated 8 months ago
- HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…☆166Updated 6 years ago
- Ordinal regression algorithms☆265Updated last year
- Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.☆465Updated 5 months ago
- My winning solution for Kaggle Higgs Machine Learning Challenge (single classifier, xgboost)☆82Updated 10 years ago