A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
-
Updated
Apr 24, 2024
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
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
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.
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
SPU (Secure Processing Unit) aims to be a provable, measurable secure computation device, which provides computation ability while keeping your private data protected.
Differential private machine learning
A STARK-based ZKVM which aims to Programmable Scalability, Programmable Privacy
Privacy preserving voluntary Covid-19 self-reporting platform. Share your location history and status, get alerts you are in high risk areas and identify high risk regions
Decentralized & federated privacy-preserving ML training, using p2p networking, in JS
Go implementation of Waku v2 protocol
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."