PrivML

Private ML framework

An effort to develop and evaluate private machine learning frameworks

GitHub

19 stars
5 watching
2 forks
last commit: over 5 years ago

Related projects:

RepositoryDescriptionStars
openmined/private-ai-resourcesA curated collection of resources and libraries for secure machine learning research and development470
pmerienne/trident-mlA real-time online machine learning library built on top of Storm and Trident.381
xtra-computing/fedsimA framework that enables federated learning across multiple datasets while optimizing model performance with record similarities.25
xtra-computing/fedovDevelops a framework to address label skews in one-shot federated learning by partitioning data and adapting models.17
xjiajiahao/federated-minimaxA framework for developing and testing decentralized machine learning algorithms2
symjax/symjaxA symbolic programming library for machine learning and deep learning applications.120
sethjuarez/numlProvides a set of reusable C# components for building machine learning models in .NET431
tailhq/dynamlAn interactive machine learning development environment with support for Scala, JVM, and popular ML libraries.201
google/praxisA library designed to be usable by other JAX-based ML projects, providing optimized layers for machine learning at scale.178
techytushar/techytusharBuilding and deploying Machine Learning models for production use56
xtra-computing/simflA C++ implementation of a federated learning algorithm for decision trees, enabling multiple parties to jointly learn from their private data without sharing it.18
tensorflow/tensorflowAn end-to-end platform for building and deploying machine learning applications186,822
matthiasplappert/keras-rlA Python library implementing state-of-the-art deep reinforcement learning algorithms for Keras and OpenAI Gym environments.8
microsoft/0xdeca10bA framework for hosting and training machine learning models on a blockchain, enabling secure sharing and prediction without requiring users to pay for data or model updates.559
google/paxmlA framework for configuring and running machine learning experiments on top of Jax.461