A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
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Updated
Sep 13, 2025
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
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
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.
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.
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
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
Go implementation of Waku v2 protocol
Kuscia(Kubernetes-based Secure Collaborative InfrA) is a K8s-based privacy-preserving computing task orchestration framework.
A multiple parties joint, distributed execution engine based on Ray, to help build your own federated learning frameworks in minutes.
Android 1.0+ <20KB minimal notification based audio player
Android 1.0+ mini notification based audio player
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