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Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference
A simple framework for privacy-friendly data science collaboration
Blockchain-based federated learning modular framework.
Concrete Numpy is a python package that contains the tools data scientists need to compile various numpy functions into their Fully Homomorphic Encryption (FHE) equivalents. Concrete Numpy goes on top of the Concrete Library and its Compiler.
Confidential Computing Zoo provides confidential computing solutions based on Intel SGX, TDX, HEXL, etc. technologies.
Constellation is the first Confidential Kubernetes. Constellation shields entire Kubernetes clusters from the (cloud) infrastructure using confidential computing.
A framework for Privacy Preserving Machine Learning
vertical federated learning demo with crypten
DP-HyperparamTuning offers an array of tools for fast and easy hypertuning of various hyperparameters for the DP-SGD algorithm.
Keras tutorial for beginners (using TF backend)
Pure implementation of ELM (Extreme Learning Machine) in python (just with numpy)
Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
Graphene / Graphene-SGX - a library OS for Linux multi-process applications, with Intel SGX support
Repository to store hnp usage examples
Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.
Multi-GPU data-parallel training in Keras
A wrapper layer for stacking layers horizontally
Attention mechanism for processing sequential data that considers the context for each timestamp.
Repository containing notebooks of my posts on Medium
Ancillary open source software to support confidential computing on NVIDIA GPUs
Training PyTorch models with differential privacy
Not my code. A simple python SEAL wrapper. This one is easier to just build and use, compared to the dockerized versions available
Privacy Preserving Vertical Federated Learning
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
Trusted execution experiments with Intel SGX
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.