A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
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Updated
Jan 24, 2026
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
THIS REPO IS NOT MAINTAINED ANYMORE. Please see https://codeberg.org/tenacityteam/tenacity for Tenacity, which is maintained.
An Industrial Grade Federated Learning Framework
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
A unified framework for privacy-preserving data analysis and machine learning
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。
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
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.
OpenHuFu is an open-sourced data federation system to support collaborative queries over multi databases with security guarantee.
Golang implementation of the PlatON protocol
Open source privacy-friendly analytics
SPU (Secure Processing Unit) aims to be a provable, measurable secure computation device, which provides computation ability while keeping your private data protected.
Apache Wayang is the first cross-platform data processing system.
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
nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph
Differential private machine learning
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.
A STARK-based ZKVM which aims to Programmable Scalability, Programmable Privacy
My Privacy DNS #Matrix lists for blacklisting
Add a description, image, and links to the privacy-preserving topic page so that developers can more easily learn about it.
To associate your repository with the privacy-preserving topic, visit your repo's landing page and select "manage topics."