• 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...