• Scikit

  • Referenced in 611 articles [sw08058]
  • Scikit-learn: machine learning in python. Scikit-learn is a Python module integrating a wide...
  • auto-sklearn

  • Referenced in 27 articles [sw33039]
  • supervised machine learning. Built around the scikit-learn machine learning library, auto-sklearn automatically searches...
  • Dask

  • Referenced in 23 articles [sw27404]
  • community projects like Numpy, Pandas, and Scikit-Learn...
  • Imbalanced-learn

  • Referenced in 10 articles [sw21535]
  • depends only on numpy, scipy, and scikit-learn and is distributed under MIT license. Furthermore ... fully compatible with scikit-learn and is part of the scikit-learn-contrib supported project...
  • CoCalc

  • Referenced in 14 articles [sw23626]
  • Data Science: R Project, Pandas, Statsmodels, Scikit-Learn, TensorFlow, NLTK, …; Document authoring: LaTeX, Markdown/HTML, ... General...
  • tslearn

  • Referenced in 7 articles [sw28447]
  • time series. This package builds on scikit-learn, numpy and scipy libraries. tslearn ... general-purpose Python machine learning library for time series that offers tools for pre-processing ... clustering, classification and regression. It follows scikit-learn’s Application Programming Interface for transformers...
  • Seglearn

  • Referenced in 5 articles [sw23641]
  • open-source python package for machine learning time series or sequences using a sliding window ... data. This package is compatible with scikit-learn and is listed under scikit-learn Related ... package depends on numpy, scipy, and scikit-learn. Seglearn is distributed under...
  • Scikit-multiflow

  • Referenced in 7 articles [sw27629]
  • scikit-multiflow is also inspired on scikit-learn, the most popular framework for Machine Learning...
  • sktime

  • Referenced in 7 articles [sw35430]
  • Series. We present sktime -- a new scikit-learn compatible Python library with a unified interface...
  • tsfresh

  • Referenced in 6 articles [sw28448]
  • machine learning libraries (e.g. pandas and scikit-learn) and is designed for both exploratory analyses...
  • scikit-optimize

  • Referenced in 6 articles [sw37048]
  • NumPy, SciPy and Scikit-Learn. We do not perform gradient-based optimization. For gradient-based...
  • BATMAN

  • Referenced in 4 articles [sw29121]
  • packages dedicated to statistics (OpenTURNS and scikit-learn). Main features are: Design of Experiment ... Models (Gaussian process, Polynomial Chaos, RBF, scikit-learn’s regressors), Optimization (Expected Improvement), Sensitivity/Uncertainty Analysis...
  • CoClust

  • Referenced in 5 articles [sw32066]
  • Python machine learning libraries such as scikit-learn...
  • Surprise

  • Referenced in 5 articles [sw29801]
  • using powerful CV iterators (inspired by scikit-learn excellent tools), as well as exhaustive search...
  • Verde

  • Referenced in 3 articles [sw31500]
  • gridder classes that are similar to scikit-learn regression classes ... look familiar to those with some scikit-learn experience...
  • scikit-survival

  • Referenced in 3 articles [sw37193]
  • survival analysis built on top of scikit-learn. It allows doing survival analysis while utilizing ... power of scikit-learn, e.g., for pre-processing or doing cross-validation. The objective...
  • GraKeL

  • Referenced in 3 articles [sw27017]
  • build on top of scikit-learn. It is simple to use and can be naturally ... combined with scikit-learn’s modules to build a complete machine learning pipeline for tasks...
  • giotto-tda

  • Referenced in 4 articles [sw39460]
  • Python built on top of scikit-learn and is distributed under the GNU AGPLv3 license...
  • AstroML

  • Referenced in 4 articles [sw34595]
  • data mining built on numpy, scipy, scikit-learn, and matplotlib, and distributed under...
  • COMBO

  • Referenced in 4 articles [sw40602]
  • scientific discovery. A standard implementation (e.g., scikit-learn), however, can accommodate only small training data...