semvec/pypi-packages huggingface dataset:
mtrust-medical 1.0.1
M-TRUST: Bias detection and mitigation for medical AI
Requires Python: >=3.8
Keywords: medical ai bias fairness healthcare trustworthy

# M-TRUST: Multimodal Trustworthy Healthcare AI

[![PyPI version](https://badge.fury.io/py/mtrust-medical.svg)](https://badge.fury.io/py/mtrust-medical)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Python 3.8+](https://img.shields.io/badge/python-3.8+-blue.svg)](https://www.python.org/downloads/)

## 🏥 Make ANY Medical AI Model Fair and Trustworthy

M-TRUST is a bias detection and mitigation framework that wraps any medical AI model to ensure fairness across patient demographics.

## ✨ Features

- 🎯 **4 Types of Bias Detection**: Demographic, Quality, Annotation, Amplification
- 🛡️ **Real-time Bias Mitigation**: Automatic fairness adjustments
- 📊 **Fairness Metrics**: Track and report bias metrics
- 🔧 **Easy Integration**: One line to wrap any model
- 🏥 **Medical-Specific**: Designed for healthcare AI

## 📦 Installation

```bash
pip install mtrust-medical

Full Example in docs/getting_started.md](docs/getting_started.md)
argos-translate-files 1.4.1
Translate files with Argos Translate

# Argos Translate Files
        
        Translate files using [Argos Translate](https://github.com/argosopentech/argos-translate).
        
        ## Supported file format
        
        .txt, .odt, .odp, .docx, .pptx, .epub, .html, .srt, .pdf
        
        ## Install
        
        ```
        pip install argos-translate-files
        ```
        
        
        ## Example
        
        ```python
        import os.path
        
        import argostranslate.package, argostranslate.translate
        
        
        import argostranslatefiles
        from argostranslatefiles import argostranslatefiles
        
        from_code = "fr"
        to_code = "en"
        
        installed_languages = argostranslate.translate.get_installed_languages()
        from_lang = list(filter(
            lambda x: x.code == from_code,
            installed_languages))[0]
        to_lang = list(filter(
            lambda x: x.code == to_code,
            installed_languages))[0]
        underlying_translation = from_lang.get_translation(to_lang)
        
        argostranslatefiles.translate_file(underlying_translation, os.path.abspath('path/to/file.txt'))
        
        ```