• Scikit

  • Referenced in 278 articles [sw08058]
  • Scikit-learn: machine learning in python. Scikit-learn is a Python module integrating a wide...
  • auto-sklearn

  • Referenced in 14 articles [sw33039]
  • supervised machine learning. Built around the scikit-learn machine learning library, auto-sklearn automatically searches...
  • Dask

  • Referenced in 12 articles [sw27404]
  • community projects like Numpy, Pandas, and Scikit-Learn...
  • Imbalanced-learn

  • Referenced in 4 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 6 articles [sw23626]
  • Data Science: R Project, Pandas, Statsmodels, Scikit-Learn, TensorFlow, NLTK, …; Document authoring: LaTeX, Markdown/HTML, ... General...
  • 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...
  • Seglearn

  • Referenced in 2 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...
  • tsfresh

  • Referenced in 3 articles [sw28448]
  • machine learning libraries (e.g. pandas and scikit-learn) and is designed for both exploratory analyses...
  • Skll

  • Referenced in 1 article [sw29015]
  • SciKit-Learn Laboratory ... Skll). SciKit-Learn Laboratory makes it easier to run machine learning experiments with scikit-learn ... machine learning experiments with scikit-learn. One of the primary goals of our project ... that you can run scikit-learn experiments without actually needing to write any code other...
  • Pymc-learn

  • Referenced in 1 article [sw27041]
  • machine learning. It is inspired by scikit-learn and focuses on bringing probabilistic machine learning ... purpose high-level language that mimics scikit-learn. Emphasis is put on ease ... documentation, and an API consistent with scikit-learn. It depends on scikit-learn and pymc3...
  • CoClust

  • Referenced in 2 articles [sw32066]
  • Python machine learning libraries such as scikit-learn...
  • MSMBuilder

  • Referenced in 2 articles [sw23802]
  • community by following the design of scikit-learn. The package is used primarily by practitioners...
  • Scikit-multiflow

  • Referenced in 2 articles [sw27629]
  • scikit-multiflow is also inspired on scikit-learn, the most popular framework for Machine Learning...
  • pycobra

  • Referenced in 2 articles [sw21382]
  • compare and blend any existing machine learning algorithm available in Python libraries (as long ... Voronoi tessellations. pycobra is fully scikit-learn compatible and is released under the MIT open...
  • GraSPy

  • Referenced in 2 articles [sw28300]
  • Python library devoted to statistical inference, machine learning, and visualization of random graphs and graph ... analyzing and understanding graphs with a scikit-learn compliant API. GraSPy can be downloaded from...
  • lightning

  • Referenced in 2 articles [sw26590]
  • ranking in Python. Highlights: follows the scikit-learn API conventions; supports natively both dense...
  • xlwings

  • Referenced in 2 articles [sw26052]
  • analysis using Jupyter Notebooks, NumPy, Pandas, scikit-learn etc. As such, xlwings is a free...
  • GraKeL

  • Referenced in 1 article [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...
  • LFSpy

  • Referenced in 1 article [sw33040]
  • Selection for Data Classi cation with scikit-learn Compatibility. Localized feature selection ... this process with compatibility with scikit-learn...
  • BATMAN

  • Referenced in 1 article [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...