How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
Training PyTorch models with differential privacy
The main features of pytorch/opacus are: Model Fairness And Privacy, Guardrails and AI Safety.
Projects with overlapping indexed features 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…
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