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nunn is a collection of ML algorithms and related examples written in modern C++17.

A parallel-programming framework for concurrently running large numbers of small autonomous jobs, or microthreads, across multiple cores in a CPU or CPUs in a cluster. NeuraNEP emulates a distributed processing environment capable of handling millions of microthreads in parallel, for example running neural networks with millions of spiking cells. Microthreads are general processing elements that can also represent non-neural elements, such as cell populations, extracellular space, emulating...

It's an object-oriented library written in C++ for creating arbitrary kind of neural networks. The user can use the classes provided to create neural network with arbitrary topology and mixed type of neurons. It's very easy add custom neurons.

The DAMNED simulator is a Distributed And Multithreaded Neural Event-Driven simulation framework designed for Distributed Discrete Event Simulations, actually well suited for Large Scale Spiking Neural Network simulations.