machine.academy VS CryptoNets

Compare machine.academy vs CryptoNets and see what are their differences.

machine.academy

Neural Network training library in C++ and C# with GPU acceleration (by zbendefy)
Gpgpu Opencl neural-network neural-networks Artificial intelligence AI mnist-classification Mnist Dotnetcore
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CryptoNets

CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Therefore, it allows keeping data private while outsourcing computation (see here and here for more about Homomorphic Encryptions and its applications). This project demonstrates the use of Homomorphic Encryption for outsourcing neural-network predictions. The scenario in mind is a provider that would like to provide Prediction as a Service (PaaS) but the data for which predictions are needed may be private. This may be the case in fields such as health or finance. By using CryptoNets, the user of the service can encrypt their data using Homomorphic Encryption and send only the encrypted message to the service provider. Since Homomorphic Encryptions allow the provider to operate on the data while it is encrypted, the provider can make predictions using a pre-t (by microsoft)
homomorphic-encryptions data-encrypted neural-networks seal

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machine.academy CryptoNets
1 8
11 217
- -
7.6 0.0
5 months ago over 1 year ago
C# C#
GNU General Public License v3.0 only MIT License
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machine.academy

Posts with mentions or reviews of machine.academy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-04.
  • Neural Network from Scratch
    6 projects | news.ycombinator.com | 4 Jan 2022
    Nice! I made a gpu accelerated backpropagation lib a while ago to learn about NNs, if you are interested check it out here: https://github.com/zbendefy/machine.academy

CryptoNets

Posts with mentions or reviews of CryptoNets. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing machine.academy and CryptoNets you can also consider the following projects:

ML-From-Scratch - Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

ml-agents - The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

micrograd - A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Keras - Deep Learning for humans

GazeTracker - Artificial intelligence tracker for OpenTrack

IEU.Winforms - Windows only GUI for ESRGAN with additional features

Numerical-Realization - An English-based natural language generator for numerical inputs.

keras - Deep Learning for humans [Moved to: https://github.com/keras-team/keras]

deepnet - Educational deep learning library in plain Numpy.

SoftGround - High performance runtime collider deformation in Unity

Numerical-Realization - An English-based natural language generator for numerical inputs.

NNfSiX - Neural Networks from Scratch in various programming languages

machine.academy vs ML-From-Scratch CryptoNets vs ml-agents machine.academy vs micrograd CryptoNets vs Keras machine.academy vs GazeTracker CryptoNets vs IEU.Winforms machine.academy vs Numerical-Realization CryptoNets vs keras machine.academy vs deepnet machine.academy vs SoftGround machine.academy vs Numerical-Realization machine.academy vs NNfSiX