Privacy Preserving Collection

◆

◆

◆

◆

📦Normal

★★★★

“A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning”

◆

◆

◆

◆

🔥Fire

★★★

“ THIS REPO IS NOT MAINTAINED ANYMORE. Please see https://codeberg.org/tenacityteam/tenacity for Tenacity, which is maintained.”

◆

◆

◆

◆

🔮Psychic

★★★

“An Industrial Grade Federated Learning Framework”

◆

◆

◆

◆

⚡Electric

★★

“Insomnium is a fast local API testing tool that is privacy-focused and 100% local. For testing GraphQL, REST, WebSockets and gRPC. This is a fork of Kong/insomnia”

◆

◆

◆

◆

🔮Psychic

★★

“A unified framework for privacy-preserving data analysis and machine learning”

◆

◆

◆

◆

🔥Fire

★★

“Privacy-Preserving Computing Platform 由密码学专家团队打造的开源隐私计算平台，支持多方安全计算、联邦学习、隐私求交、匿踪查询等。”

◆

◆

◆

◆

⚡Thunder

★★

“基于区块链的符合W3C DID和Verifiable Credential规范的分布式身份解决方案”

◆

◆

◆

◆

⚙️Steel

★★

“Linux Guide. Learn about Linux Hardware vendors, Linux in the Cloud, Desktop Environments, Window Mangers, Linux Distributions, Linux Security, Graphics (AMD/NVIDIA/Intel ARC), and Software Apps.”

◆

◆

◆

◆

⚡Thunder

★★

“OpenHuFu is an open-sourced data federation system to support collaborative queries over multi databases with security guarantee.”

◆

◆

◆

◆

🌊Water

★

“Golang implementation of the PlatON protocol”

◆

◆

◆

◆

💎Aqua

★

“Open source privacy-friendly analytics”

◆

◆

◆

◆

🔥Fire

★

“SPU (Secure Processing Unit) aims to be a provable, measurable secure computation device, which provides computation ability while keeping your private data protected.”

◆

◆

◆

◆

⚡Thunder

★

“Apache Wayang is the first cross-platform data processing system.”

◆

◆

◆

◆

🔮Psychic

★

“A Personalized Federated Learning (PFL-HCare) framework for IoT healthcare. Features MAML meta-learning, Differential Privacy (RDP), and gradient quantization for efficiency. Includes a React/FastAPI dashboard for real-time monitoring.”

◆

◆

◆

◆

📦Normal

★

“A comprehensive list [AIM@IJCAI'21, P3M@MM'21, GFM@IJCV'22, RIM@CVPR'23, P3MNet@IJCV'23] of our research works related to image matting, including papers, codes, datasets, demos, and citations. Note: The repo for [IJCV'23] "Rethinking Portrait Matting with Privacy Preserving" has been moved to: https://github.com/ViTAE-Transformer/P3M-Net”

◆

◆

◆

◆

🔥Fire

★

“nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph”

◆

◆

◆

◆

🔮Psychic

★

“Differential private machine learning”

◆

◆

◆

◆

💎Aqua

★

“DISCO is a code-free and installation-free browser platform that allows any non-technical user to collaboratively train machine learning models without sharing any private data.”