EzPC
Machine Learning Framework
A software framework for secure machine learning that provides efficient and scalable computation protocols for collaborative data analysis
406 stars
21 watching
121 forks
Language: C++
last commit: over 2 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
| A framework for secure multi-party computation | 86 | |
| A 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 | |
| A framework for evaluating and benchmarking secure multi-party computation protocols | 958 | |
| A machine learning framework for native code on Macs with support for neural networks and natural language processing. | 37 | |
| A collection of sample programs and build environments for various secure multi-party computation frameworks. | 491 | |
| An MPC library that enables secure joint computations among multiple parties without revealing their inputs | 9 | |
| Provides an object-oriented framework for efficient machine learning in R | 952 | |
| An implementation of multi-party machine learning protocols for computations on sparse data | 5 | |
| A machine learning framework for training models on quantum dot data | 40 | |
| A JavaScript library enabling secure multi-party computation in web applications | 262 | |
| This project implements a Model Predictive Control (MPC) system in MATLAB. | 109 | |
| Provides an infrastructure for machine learning in R, enabling users to focus on experiments without writing lengthy wrappers and boilerplate code. | 1,648 | |
| A platform for collaboration, data management, and reproducibility in machine learning development | 1,440 | |
| A high-performance ML model serving framework | 802 | |
| Research on integrating machine learning with emergent runtimes to improve performance and security. | 22 |