7 Repositories
Python transparency Libraries
Smart-contracts - open sourcing our upcoming smart contracts for better security and transparency
Smart-contracts - open sourcing our upcoming smart contracts for better security and transparency
🔅 Shapash makes Machine Learning models transparent and understandable by everyone
🎉 What's new ? Version New Feature Description Tutorial 1.6.x Explainability Quality Metrics To help increase confidence in explainability methods, y
Responsible Machine Learning with Python
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Fit interpretable models. Explain blackbox machine learning.
InterpretML - Alpha Release In the beginning machines learned in darkness, and data scientists struggled in the void to explain them. Let there be lig
PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"
Transparency-by-Design networks (TbD-nets) This repository contains code for replicating the experiments and visualizations from the paper Transparenc
Subcert is an subdomain enumeration tool, that finds all the subdomains from certificate transparency logs.
Subcert Subcert is a subdomain enumeration tool, that finds all the valid subdomains from certificate transparency logs. Table of contents Setup Demo
A library that implements fairness-aware machine learning algorithms
Themis ML themis-ml is a Python library built on top of pandas and sklearnthat implements fairness-aware machine learning algorithms. Fairness-aware M