Knockpy github. io/knockpy/ for detailed documentation and tutorials.

Knockpy github Knockpy is a portable and modular python3 tool designed to quickly enumerate subdomains on a target domain through passive reconnaissance and dictionary scan. Jul 18, 2021 · cd KnockPy Fig 1: Cloning tool from GitHub repository. To install and begin using knockpy, simply enter: pip install knockpy [fast] To use the (optional) kpytorch submodule, you will need to install pytorch. Installation. github. How to use: Run tool: To run the tool and to know its options, type the following command. See an example of how to apply knockoffs to a lasso model on synthetic data. Knockoffs were initially developed in Barber and Candes 2015 and Candes et al 2018. . See https://amspector100. Install via pip pip install knock-subdomains May 17, 2025 · Knockpy. py -h Welcome to knockpy’s documentation! Knockoffs are a powerful tool which can be used in combination with nearly any machine learning algorithm to control the false discovery rate (FDR) in feature selection. python knock. Jul 12, 2021 · To download the tool, visit the following GitHub page: /opt/knock/knockpy# python3 knockpy. Learn how to install and use knockpy, a Python package for variable selection with knockoffs, on different platforms and environments. A python implementation of the knockoffs framework for variable selection. io/knockpy/ for detailed documentation and tutorials. py –h). Knock is a python tool designed to enumerate subdomains on a target domain through a wordlist. To perform a necessary subdomain enumeration, use the following command: Contribute to santiko/KnockPy development by creating an account on GitHub. lktgvf hcfw ktcs npg akqn okk save hjpi csjuf lwry