Alternatives and similar repositories for imbalanced-learn

Users that are interested in imbalanced-learn are comparing it to the libraries listed below

• rasbt / mlxtend
  A library of extension and helper modules for Python's data analysis and machine learning libraries.
  ☆5,078Updated 4 months ago
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,465Updated 4 months ago
• automl / auto-sklearn
  Automated Machine Learning with scikit-learn
  ☆7,973Updated this week
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,772Updated 6 months ago
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,489Updated last week
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,646Updated 6 months ago
• scikit-learn-contrib / sklearn-pandas
  Pandas integration with sklearn
  ☆2,842Updated 2 years ago
• DistrictDataLabs / yellowbrick
  Visual analysis and diagnostic tools to facilitate machine learning model selection.
  ☆4,376Updated 8 months ago
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆6,123Updated this week
• alteryx / featuretools
  An open source python library for automated feature engineering
  ☆7,548Updated 2 weeks ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,794Updated last year
• reiinakano / scikit-plot
  An intuitive library to add plotting functionality to scikit-learn objects.
  ☆2,440Updated last year
• EpistasisLab / tpot
  A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
  ☆10,004Updated last month
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,590Updated last month
• marcotcr / lime
  Lime: Explaining the predictions of any machine learning classifier
  ☆12,021Updated last year
• interpretml / interpret
  Fit interpretable models. Explain blackbox machine learning.
  ☆6,692Updated last week
• WillKoehrsen / feature-selector
  Feature selector is a tool for dimensionality reduction of machine learning datasets
  ☆2,236Updated last year
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,786Updated 2 weeks ago
• microsoft / LightGBM
  A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used …
  ☆17,742Updated this week
• kaz-Anova / StackNet
  StackNet is a computational, scalable and analytical Meta modelling framework
  ☆1,330Updated 7 years ago
• jundongl / scikit-feature
  open-source feature selection repository in python
  ☆1,554Updated last year
• jmschrei / pomegranate
  Fast, flexible and easy to use probabilistic modelling in Python.
  ☆3,486Updated 7 months ago
• maxpumperla / hyperas
  Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
  ☆2,177Updated 2 years ago
• blue-yonder / tsfresh
  Automatic extraction of relevant features from time series:
  ☆8,989Updated last month
• MLWave / Kaggle-Ensemble-Guide
  Code for the Kaggle Ensembling Guide Article on MLWave
  ☆1,596Updated 7 years ago
• AxeldeRomblay / MLBox
  MLBox is a powerful Automated Machine Learning python library.
  ☆1,521Updated 2 years ago
• parrt / dtreeviz
  A python library for decision tree visualization and model interpretation.
  ☆3,101Updated 7 months ago
• snorkel-team / snorkel
  A system for quickly generating training data with weak supervision
  ☆5,922Updated last year
• CamDavidsonPilon / lifelines
  Survival analysis in Python
  ☆2,510Updated 11 months ago
• ClimbsRocks / auto_ml
  [UNMAINTAINED] Automated machine learning for analytics & production
  ☆1,654Updated 4 years ago