In this video, I'll be sharing with you a few powerful VSCode features that all Python devs should learn. If you're a Python developer and you work in VSCode, then you need to know about these ...

Despite the development of several toolboxes for MEP feature extraction, many are tailored to specific studies, such as recruitment curve analysis or online feature extraction, and often provide ...

The construction, management, and analysis of large in silico molecular libraries is critical in many areas of modern chemistry. Herein, we introduce the MOLecular LIibrary toolkit, “molli”, which is ...

Static code features are necessary components when using machine learning-based techniques to reason about a program of interest. To extract static code features, researchers develop their own feature ...

Star 1.9k Code Issues Pull requests Discussions Feature engineering package with sklearn like functionality python data-science machine-learning scikit-learn feature-selection feature-extraction ...

Effector is a Python library that aims to mitigate the limitations of existing methods by providing regional feature effect methods. The method partitions the input space into subspaces to get a ...

This work presents inspect4py, a static code analysis framework designed to automatically extract the main features, metadata and documentation of Python code repositories. Given an input folder with ...