A framework for Privacy Preserving Machine Learning
MIT License
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Published by marksibrahim over 4 years ago
Initial release to PyPI: https://pypi.org/project/crypten/
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed conf...
Source for paper "Attacking Binarized Neural Networks"
Biologically based dynamics for machine learning and deep learning tools for neuroscience.
Python Cryptographic (File Locking) Library
Python 3.9 to JavaScript compiler - Lean, fast, open!
Concrete ML: Privacy Preserving ML framework built on top of Concrete, with bindings to tradition...
âš¡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crac...
A library for doing homomorphic encryption operations on tensors
TensorLayerX: A Unified Deep Learning and Reinforcement Learning Framework for All Hardwares, Bac...
A toolbox to iNNvestigate neural networks' predictions!
Codebase for Image Classification Research, written in PyTorch.
Debugging, monitoring and visualization for Python Machine Learning and Data Science
cryptography is a package designed to expose cryptographic primitives and recipes to Python devel...
TensorLy: Tensor Learning in Python.
Deep Learning and Reinforcement Learning Library for Scientists and Engineers