Junjie Shi's repositories
PrivateAI_papers_and_libs
latest papers and opensource libraries for privacy-preserving AI tech
Antchain-MPC
Antchain-MPC is a library of MPC (Multi-Parties Computation)
awesome-mpc
A curated list of multi party computation resources and links.
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
CLRS-Solutions
Solutions to "Introduction to Algorithm, 3rd Edition"
PySyft
A library for encrypted, privacy preserving machine learning
SEAL
Microsoft SEAL is an easy-to-use and powerful homomorphic encryption library.
conclave
Query compiler for secure multi-party computation.
d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.
FederatedScope
An easy-to-use federated learning platform
FISCO-BCOS
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-programming-books
free coding books in english
GmSSL
支持国密SM2/SM3/SM4/SM9/ZUC/SSL的OpenSSL分支
incubator-teaclave
Apache Teaclave (incubating) is an open source universal secure computing platform, making computation on privacy-sensitive data safe and simple.
jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Megatron-LM
Ongoing research training transformer models at scale
peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
privacy
Library for training machine learning models with privacy for training data
resnet-in-tensorflow
Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.
Rosetta
A Privacy-Preserving Framework Based on TensorFlow
securenn-public
Implementation of protocols in SecureNN.