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dll - Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)

DLL is a library that aims to provide a C++ implementation of Restricted Boltzmann Machine (RBM) and Deep Belief Network (DBN) and their convolution versions as well. It also has support for some more standard neural networks. Note: When you clone the library, you need to clone the sub modules as well, using the --recursive option.

Perfect-TensorFlow - TensorFlow C API Class Wrapper in Server Side Swift.

This project is an experimental wrapper of TensorFlow C API which enables Machine Learning in Server Side Swift.This package builds with Swift Package Manager and is part of the Perfect project but can also be used as an independent module.

fashion - The Fashion-MNIST dataset and machine learning models.

Training AI machine learning models on the Fashion MNIST dataset. Fashion-MNIST is a dataset consisting of 70,000 images (60k training and 10k test) of clothing objects, such as shirts, pants, shoes, and more. Each example is a 28x28 grayscale image, associated with a label from 10 classes. The 10 classes are listed below.

neatjs - A javascript implementation of Neuro Evolution of Augmenting Topologies

NeuroEvolution of Augmenting Topologies (NEAT) implemented in Javascript (with tests done in Mocha for verification). Can be used as a node module or in a browser