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David W. ZHU's Projects

crypten icon crypten

A framework for Privacy Preserving Machine Learning

cryptotools icon cryptotools

A repo to hold common tools used by my crypto projects

cufhe icon cufhe

CUDA-accelerated Fully Homomorphic Encryption Library

fate icon fate

An Industrial Grade Federated Learning Framework

flyte icon flyte

Kubernetes-native workflow automation platform for complex, mission-critical data and ML processes at scale. It has been battle-tested at Lyft, Spotify, Freenome, and others and is truly open-source.

hehub icon hehub

HEhub is a library for homomorphic encryption and its applications, and is part of the PrimiHub project.

libote icon libote

A fast, portable, and easy to use Oblivious Transfer Library

libsodium icon libsodium

A modern, portable, easy to use crypto library.

mlmodeldb icon mlmodeldb

Open Source ML Model Versioning, Metadata, and Experiment Management

mlreef icon mlreef

The collaboration workspace for Machine Learning

open-mlops icon open-mlops

致力于MLOps生产可用的Python简易框架

private-id icon private-id

A collection of algorithms that can do join between two parties while preserving the privacy of keys on which the join happens

seal icon seal

Microsoft SEAL is an easy-to-use and powerful homomorphic encryption library.

secretflow icon secretflow

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

seldon-core icon seldon-core

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

spdz-2 icon spdz-2

(Inactive, see readme) Multiparty computation with SPDZ, MASCOT, and Overdrive offline phases

tfhe icon tfhe

TFHE: Fast Fully Homomorphic Encryption Library over the Torus

transformers icon transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

unionml icon unionml

UnionML: the easiest way to build and deploy machine learning microservices

volepsi icon volepsi

Efficient Private Set Intersection base on VOLE

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