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Training PyTorch models with differential privacy
A Deep Learning based project for colorizing and restoring old images (and video!)
A Privacy-Preserving Framework Based on TensorFlow
A Framework for Encrypted Machine Learning in TensorFlow
Apache Teaclave (incubating) is an open source universal secure computing platform, making computation on privacy-sensitive data safe and simple.
Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library
A curated list of resources for privacy-preserving machine learning
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
The most recommended programming books of all-time.
计算机基础（计算机网络/操作系统/数据库/Git...）面试问题全面总结，包含详细的follow-up question以及答案；全部采用【问题+追问+答案】的形式，即拿即用，直击互联网大厂面试；可用于模拟面试、面试前复习、短期内快速备战面试...
A PyTorch Implementation of Federated Learning https://doi.org/10.5281/zenodo.4321561
Perform data science on data that remains in someone else's server
分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
Tangible and Practical Deep Learning Projects Repository for Healthcare such as Cancer, Drug Discovery, Genomic and More
A toolkit to learn how to model and interpret regulatory sequence data using deep learning.
Discover augmentation strategies tailored for your dataset
Repository for collection of research papers on privacy.
Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/1610.05755)
Deep Learning and deep reinforcement learning research papers and some codes