A neural network, written in Ruby

Autodiff is a numerical library for the Go programming language that supports automatic differentiation. It implements routines for linear algebra (vector/matrix operations), numerical optimization and statistics

A C++ implementation of feed-forward neural networks.

Pure Golang implementation of the algorithm Rprop+

This doesn't work, not the code, the whole premise. Don't expect to get rich quick! The code behind this is a basic Feed Forward neural network, trained with RPROP, which I wrote from scratch. It doesn't have multithreading either, so not useful for most things.

fann networks+forex + MILK + met8

Bachelor Thesis - Reinforcement learning using NFQ on humanoid robot NAO

gradient descent optimization algorithms

A simple FCNN and multitheading rProp implementation from scratch in C++.