{"repo":"zama-ai/concrete-ml","free":true,"listed":false,"github":"https://github.com/zama-ai/concrete-ml","clone":"git clone https://github.com/zama-ai/concrete-ml.git","description":"Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.","language":"Python","stars":1445,"topics":["python","data-science","privacy","torch","scikit-learn","homomorphic-encryption","machine-learning","fhe","tfhe","ppml"],"license":null,"category":"machine-learning","readme_excerpt":"📒 Documentation 💛 Community support 📚 FHE resources by Zama About What is Concrete ML Concrete ML is a Privacy-Preserving Machine Learning (PPML) open-source set of tools built on top of Concrete by Zama. It simplifies the use of fully homomorphic encryption (FHE) for data scientists so that they can automatically turn machine learning models into their homomorphic equivalents, and use them without knowledge of cryptography. Concrete ML is designed with ease of use in mind. Data scientists can use models with APIs that are close to the frameworks they already know well, while additional options to those models allow them to run inference or training on encrypted data with FHE. The Concrete ML model classes are similar to those in scikit-learn and it is also possible to convert PyTorch models to FHE. Main features - Built-in models : Ready-to-use FHE-friendly models with a user interface that is equivalent to their the scikit-learn and XGBoost counterparts - Customs models : Concrete ML supports models that can use quantization-aware training. These are developed by the user using PyTorch or keras/tensorflow and are imported into Concrete ML through ONNX Learn more about Concrete ML features in the documentation. Use cases By leveraging FHE, Concrete ML can unlock a myriad of new use cases for machine learning, such as enabling secure and private data collaboration, protecting sensitive data while still allowing for analysis, and facilitating machine learning on data-sets t","default_branch":null,"files":null,"tree":[],"storefront":"/r/zama-ai","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/zama-ai/concrete-ml/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}