meProp: Sparsified Back Propagation for Accelerated Deep Learning (ICML 2017)

Low dependency（C++11 STL only）, good portability, header-only, deep neural networks for embedded

Biologically-Inspired and Machine Learning Algorithms written in Python

Recreating PyTorch from scratch, using Numpy. Supports FCN, CNN, RNN layers.

Abstract operators for large scale optimization in Julia

Core neural networks framework supporting to build multilayer perceptron

3 versions of Perceptron: normal Perceptron; Perceptron GUI; Multilayer Perceptron GUI, back propagation，感知机，感知器，BP 神经网络，反向传播，多层感知器，多层感知机

This is a software application to detect network intrusion by monitoring a network or system for malicious activity and predicts whether it is Normal or Abnormal(attacked with intrusion classes like DOS/PROBE/R2L/U2R).

基于并行BP神经网络的人脸识别系统（并行）

Encog is a NodeJs ES6 framework based on the Encog Machine Learning Framework by Jeff Heaton.

Neural_Networks_From_Scratch

Feed Forward Multi-Layer Neural Network implemented in C++ 17, optimized using OpenMP 5.1 and tested on fashion MNIST dataset.

chronic kidney disease detection using different neural network technique

Implemented random feedback alignment. This algorithm is one solution to the weight transport problem. The algorithm is based on the paper:

Neural Network Based UAV Routing

Gradient_descent_Complete_In_Depth_for beginners

Optimal brain damage, Back propagation, Neural Network

A classifier to differentiate between Cat and Non-Cat Images

Classification of data using neural networks — with back propagation (multilayer perceptron) and with counter propagation

Neural network framework. The back-propagation algorithm is implemented with numpy, and the package supports basic activation functions, loss functions and neural architectures.