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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.
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 E
C# implementation of neural networks library. Contains basic types of layers (dense, convolution, pooling, flatten). Supports single CPU, Multi-CPU and GPU tensor operations (using ManagedCUDA). This project is no longer developed, since I ported it to C++ and greatly expanded (Neuro_).