Popular GitHub Repositories for Trusted

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

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 unified framework for privacy-preserving data analysis and machine learning

Interpretability and explainability of data and machine learning models

TrustRAG：The RAG Framework within Reliable input,Trusted output

An Open Framework for Federated Learning.

API & Webapp to answer questions about COVID-19. Using NLP (Question Answering) and trusted data sources.

Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.

ChatDKG is an open framework for efficient search, access, and utilization of trusted knowledge with AI, based on OriginTrail Decentralized Knowledge Graph (DKG) and Knowledge Assets. The ChatDKG framework is designed as an open community project to explore a diverse range of possible applications.

A Python library for sentiment analysis of various tickers from the latest news by trusted sources, and tools to plot results. ???

A platform that enables users to perform private benchmarking of machine learning models. The platform facilitates the evaluation of models based on different trust levels between the model owners and the dataset owners.

Paper list and relevant material for Privacy-Preserving Computation.

首个运行在AWS Nitro Enclave可信执行环境上的可信MCP服务器

This repository showcases a curated collection of the most useful and reliable free GPTs from OpenAI's GPT Store. Covering domains such as forensic analysis, mathematics, programming, SEO, document management, and education, each GPT has been thoroughly tested to ensure top performance.

Code for the paper "Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses," by Andrew Lowy & Meisam Razaviyayn

A self-hosted, privacy-focused RAG (Retrieval-Augmented Generation) interface for intelligent document interaction. Turn any document into a knowledge base you can chat with.

Hands on workshop material evaluating performance, fairness and robustness of models

Security protocols for estimating adversarial robustness of machine learning models for both tabular and image datasets. This package implements a set of evasion attacks based on metaheuristic optimization algorithms, and complex cost functions to give reliable results for tabular problems.

Lattico AI is the first enterprise-grade self-evolving multi-agent collaboration framework built on blockchain. Optimizes agents through on-chain learning.