A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
A Python package to assess and improve fairness of machine learning models.
Perspective is an API that uses machine learning models to score the perceived impact a comment might have on a conversation. See https://developers.perspectiveapi.com for more information.
A framework for Privacy Preserving Machine Learning
Training PyTorch models with differential privacy
The main features of pytorch/opacus are: Model Fairness And Privacy, Guardrails and AI Safety.
Open-source alternatives to pytorch/opacus include: fairlearn/fairlearn — A Python package to assess and improve fairness of machine learning models. trusted-ai/aif360 — A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and… conversationai/perspectiveapi — Perspective is an API that uses machine learning models to score the perceived impact a comment might have on a… facebookresearch/crypten — A framework for Privacy Preserving Machine Learning. guardrails-ai/guardrails — Guardrails is a Python SDK that wraps calls to large language models with configurable validation pipelines,… centerforaisafety/harmbench — 📰 Latest News 📰 - 🗡️ What is HarmBench 🛡️ - 🌐 Overview 🌐 - ☕ Quick Start ☕ - ⚙️ Installation - 🛠️ Running the…