David W. ZHU's repositories
CrypTen
A framework for Privacy Preserving Machine Learning
cryptoTools
A repo to hold common tools used by my crypto projects
cuFHE
CUDA-accelerated Fully Homomorphic Encryption Library
davidwwzhu
Config files for my GitHub profile.
FATE
An Industrial Grade Federated Learning Framework
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.
fully-homomorphic-encryption
Libraries and tools to perform fully homomorphic encryption operations on an encrypted data set.
hehub
HEhub is a library for homomorphic encryption and its applications, and is part of the PrimiHub project.
SeceumFL
SeceumFL v3.2
libOTe
A fast, portable, and easy to use Oblivious Transfer Library
libsodium
A modern, portable, easy to use crypto library.
MLmodeldb
Open Source ML Model Versioning, Metadata, and Experiment Management
MLOps
MLOps examples
MLOpsPython
MLOps using Azure ML Services and Azure DevOps
mlreef
The collaboration workspace for Machine Learning
open-mlops
致力于MLOps生产可用的Python简易框架
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
Microsoft SEAL is an easy-to-use and powerful homomorphic encryption library.
secretflow
A unified framework for privacy-preserving data analysis and machine learning
seldon-core
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
SPDZ-2
(Inactive, see readme) Multiparty computation with SPDZ, MASCOT, and Overdrive offline phases
tfhe
TFHE: Fast Fully Homomorphic Encryption Library over the Torus
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
unionml
UnionML: the easiest way to build and deploy machine learning microservices
volepsi
Efficient Private Set Intersection base on VOLE