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.
  ☆4,982Updated last month
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,364Updated last month
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,431Updated this week
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆5,986Updated last week
• automl / auto-sklearn
  Automated Machine Learning with scikit-learn
  ☆7,773Updated last month
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,768Updated 2 years ago
• EpistasisLab / tpot
  A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
  ☆9,866Updated 3 weeks ago
• reiinakano / scikit-plot
  An intuitive library to add plotting functionality to scikit-learn objects.
  ☆2,432Updated 7 months ago
• DistrictDataLabs / yellowbrick
  Visual analysis and diagnostic tools to facilitate machine learning model selection.
  ☆4,323Updated last month
• alteryx / featuretools
  An open source python library for automated feature engineering
  ☆7,384Updated this week
• marcotcr / lime
  Lime: Explaining the predictions of any machine learning classifier
  ☆11,810Updated 7 months ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,763Updated last year
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,610Updated 9 months ago
• scikit-learn-contrib / sklearn-pandas
  Pandas integration with sklearn
  ☆2,824Updated last year
• keras-team / autokeras
  AutoML library for deep learning
  ☆9,207Updated 3 months ago
• maxpumperla / hyperas
  Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
  ☆2,179Updated 2 years ago
• shap / shap
  A game theoretic approach to explain the output of any machine learning model.
  ☆23,552Updated this week
• microsoft / LightGBM
  A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used …
  ☆17,046Updated last week
• jmschrei / pomegranate
  Fast, flexible and easy to use probabilistic modelling in Python.
  ☆3,419Updated 2 weeks ago
• snorkel-team / snorkel
  A system for quickly generating training data with weak supervision
  ☆5,840Updated 10 months ago
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,556Updated 7 months ago
• interpretml / interpret
  Fit interpretable models. Explain blackbox machine learning.
  ☆6,426Updated this week
• benhamner / Metrics
  Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
  ☆1,634Updated 2 years ago
• blue-yonder / tsfresh
  Automatic extraction of relevant features from time series:
  ☆8,658Updated last month
• dmlc / xgboost
  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…
  ☆26,707Updated this week
• lmcinnes / umap
  Uniform Manifold Approximation and Projection
  ☆7,658Updated 3 weeks ago
• MLWave / Kaggle-Ensemble-Guide
  Code for the Kaggle Ensembling Guide Article on MLWave
  ☆1,570Updated 7 years ago
• catboost / catboost
  A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other ma…
  ☆8,298Updated this week
• parrt / dtreeviz
  A python library for decision tree visualization and model interpretation.
  ☆3,031Updated 2 weeks ago
• AxeldeRomblay / MLBox
  MLBox is a powerful Automated Machine Learning python library.
  ☆1,512Updated last year