Privacy and Safety

AI Job Displacement Tracker is an open-source tool that aggregates and structures data on workforce reductions attribute...

ART (Adversarial Robustness Toolbox) is a Python library designed to help developers and researchers defend machine lear...

Awesome AI Regulation is an open-source resource that aggregates and organizes AI governance, compliance, and regulatory...

Awesome Production GenAI is an open-source toolkit focused on safe and private deployment of generative AI models. It pr...

Awesome RAG Production is a curated collection of production-grade tools and best practices for building scalable Retrie...

CipherChat is an open-source framework designed to evaluate the generalization capability of safety alignment in large l...

DeepTeam is an open-source framework designed for red teaming large language models (LLMs), enabling users to test and i...

FATE is an open-source federated learning framework designed to facilitate secure, privacy-preserving collaboration betw...

FedML is an open-source platform that enables federated and distributed machine learning across edge and cloud environme...

Flower is a framework for federated learning, enabling machine learning models to be trained across decentralized device...

Google's Differential Privacy is a C++ library that implements ε-differentially private algorithms to generate aggregate...

Guardrails is an open-source Python package that enforces structure, type safety, and quality constraints on outputs gen...

NeMo Guardrails is an open-source toolkit designed to add customizable safety and control layers to large language model...

Opacus is a PyTorch library designed to facilitate differential privacy in machine learning models. It allows developers...

OpenFL is a Python-based framework for Federated Learning (FL), enabling collaborative model training across decentraliz...

PySyft is a Python library that enables secure and private deep learning by leveraging techniques like Multi-Party Compu...

TF Encrypted is an open-source framework that enables secure machine learning by performing computations on encrypted da...