💡 Build some cool privacy-preserving machine learning apps with Concrete ML (we are open source)
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by
jeremyzacch
- opened
Concrete-ML is a Privacy-Preserving Machine Learning (PPML) open-source set of tools built on top of The Concrete Framework by Zama. It aims to simplify the use of fully homomorphic encryption (FHE) for data scientists to help them automatically turn machine learning models into their homomorphic equivalent. Concrete-ML was designed with ease-of-use in mind, so that data scientists can use it without knowledge of cryptography. Notably, the Concrete-ML model classes are similar to those in scikit-learn and it is also possible to convert PyTorch models to FHE.
We're open source, try it here: https://github.com/zama-ai/concrete-ml
Any question? Ask our team: https://community.zama.ai