In conclusion, scikit-fingerprints is an advanced open-source Python library designed for computing molecular fingerprints, fully compatible with the scikit-learn API. It is the most feature-rich ...

The scikit-learn library is built on top of NumPy, SciPy and Matplotlib. It supports supervised or unsupervised learning with various tools for model fitting, including data preprocessing and ...

Although Scikit-learn is now a standalone Python library on Github and has been adopted by big companies like Spotify, it had an inauspiscious start as a third-party extension to the SciPy library ...

As a Python library for machine learning, with deliberately limited scope, Scikit-learn is very good. It has a wide assortment of well-established algorithms, with integrated graphics.

scikit-learn. Built on top of NumPy, SciPy, and Matplotlib, scikit-learn is a popular machine learning library in Python language. The library supports supervised and unsupervised learning and ...

scikit-mobility is a library for human mobility analysis in Python. The library allows to: represent trajectories and mobility flows with proper data structures, TrajDataFrame and FlowDataFrame.