Antchain-MPC is a library of MPC (Multi-Parties Computation)
A curated list of multi party computation resources and links.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Solutions to "Introduction to Algorithm, 3rd Edition"
Implementation of the DGHV fully homomorphic encryption scheme
A library for encrypted, privacy preserving machine learning
Microsoft SEAL is an easy-to-use and powerful homomorphic encryption library.
Query compiler for secure multi-party computation.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.
An easy-to-use federated learning platform
FISCO BCOS是由微众牵头的金链盟主导研发、对外开源、安全可控的企业级金融区块链底层技术平台。 单链配置下，性能TPS可达万级。提供群组架构、并行计算、分布式存储、可插拔的共识机制、隐私保护算法、支持全链路国密算法等诸多特性。 经过多个机构、多个应用，长时间在生产环境中的实践检验，具备金融级的高性能、高可用性及高安全性。FISCO BCOS is a secure and reliable financial-grade open-source blockchain platform. The platform provides rich features including group architecture, cross-chain communication protocols, pluggable consensus mechanisms, privacy protection algorithms, OSCCA-approved (Office of State Commercial Cryptography Administration) cryptography algorithms, and distributed storage. Its performance, usability, and security have been testified by many institutional users and successful business applications in a live production environment.
free coding books in english
Git Source Code Mirror - This is a publish-only repository and all pull requests are ignored. Please follow Documentation/SubmittingPatches procedure for any of your improvements.
A collection of useful .gitignore templates
Apache Teaclave (incubating) is an open source universal secure computing platform, making computation on privacy-sensitive data safe and simple.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Emulator for rapid prototyping of Software Defined Networks
Library for training machine learning models with privacy for training data
Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.
A Privacy-Preserving Framework Based on TensorFlow
Implementation of protocols in SecureNN.