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85 search results found

Genann ⭐ 1,398

simple neural network library in ANSI C

Lectures Labs ⭐ 1,309

Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris

Neataptic ⭐ 978

🚀 Blazing fast neuro-evolution & backpropagation for the browser and Node.js

Simple Neural Network ⭐ 723

A simple Python script showing how the backpropagation algorithm works.

Go Deep ⭐ 436

Artificial Neural Network

GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN

Python Neural Network ⭐ 278

This is an efficient implementation of a fully connected neural network in NumPy. The network can be trained by a variety of learning algorithms: backpropagation, resilient backpropagation and scaled conjugate gradient learning. The network has been developed with PYPY in mind.

Deep Learning From Scratch ⭐ 250

Six snippets of code that made deep learning what it is today.

Slayerpytorch ⭐ 250

PyTorch implementation of SLAYER for training Spiking Neural Networks

Deepneuralclassifier ⭐ 243

Deep neural network using rectified linear units to classify hand written symbols from the MNIST dataset.

Backpropagation ⭐ 240

Implementing multilayer neural networks through backpropagation using Java.

Neural Network From Scratch ⭐ 211

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

Make_a_neural_network ⭐ 196

This is the code for the "Make a Neural Network" - Intro to Deep Learning #2 by Siraj Raval on Youtube

Deeplearning Notes ⭐ 194

Notes for Deep Learning Specialization Courses led by Andrew Ng.

Probabilistic Backpropagation ⭐ 159

Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.

Machine_learning_2018 ⭐ 146

Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

A simple machine learning framework written in Swift 🤖

A tiny neural network 🧠

Neural Net Ruby ⭐ 105

A neural network, written in Ruby

Deep Learning Coursera ⭐ 102

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

Sentiment ⭐ 85

An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.

Neuroduino ⭐ 79

An artificial neural network library for the Arduino

Minimal Nn ⭐ 73

A minimal implementation of neural network for MNIST experiment. Used as an exercise to help understanding Backpropagation by implementing it in NumPy.

Theoretical Proof Of Neural Network Model And Implementation Based On Numpy ⭐ 66

This resource implements a deep neural network through Numpy, and is equipped with easy-to-understand theoretical derivation, mainly for the in-depth understanding of neural networks. 神经网络模型的理论证明与基于Numpy的实现。

Forward Thinking Pytorch ⭐ 66

Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"

Bnns Cocoa Example ⭐ 59

An example of a neural network trained by tensorflow and executed using BNNS

Julia artificial neural networks

JAX-based Spiking Neural Network framework

Neuralduino ⭐ 35

The only dynamic and reconfigurable Artificial Neural networks library with back-propagation for arduino

Lkydeepnn ⭐ 31

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

Biologically-Inspired and Machine Learning Algorithms written in Python

Swiftsimpleneuralnetwork ⭐ 28

A simple multi-layer feed-forward neural network with backpropagation built in Swift.

Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.

Dl Glossary ⭐ 25

📑 The Open Source Deep Learning Glossary

Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Journal of Neural Systems (2020), doi: 10.1142/S0129065720500276

Cerebrum ⭐ 24

Cerebrum.js is a neural network library created in pure JavaScript.

Minimalistic Multiple Layer Neural Network From Scratch In Python ⭐ 21

Minimalistic Multiple Layer Neural Network from Scratch in Python.

Newbie_neural_network_practice ⭐ 21

适合新手学习的神经网络实践教程+代码。a awesome neural network practice project for newbie.我的CSDN博客：

Minineuralnets ⭐ 19

A framework for mini neural networks (perceptrons), written from scratch in python. The goal of the project is to demystify the workings of a neural network and various training algorithms by providing code written from scratch for the simplest neural network one could have.

Littlebrain ⭐ 17

Multi-layer Neural Network in Javascript

Backpropagation ⭐ 17

Neural Network Backpropagation Algorithm. Implementation using python

Recurrent Js ⭐ 14

[INACTIVE] Amazingly simple to build and train various neural networks. The library is an object-oriented neural network approach (baked with Typescript), containing stateless and stateful neural network architectures.

Neural Network With Genetic Algorithm Optimizer ⭐ 13

Train neural network with genetic algorithm (alternative method to backpropagation)

Quantum Backpropagation ⭐ 12

Simple demo showcasing baseline logic for BaQProp to learn "quantum data" [outdated]

Neural Networks Py ⭐ 12

Core neural networks framework supporting to build multilayer perceptron

Backpropagation neural-network API for Java

Backpropagation C ⭐ 12

Available when training a Neural Network, or an Autoencoder.

Neuralnetwork ⭐ 11

numpy implementation of a feed forward neural network with backpropagation

Neuralnetwork ⭐ 11

This java library is used for generating, training, and using artificial neural networks with linear algebra. Uses feed forward nets, with backpropagation learning algorithm.

Neural Network In Spreadsheet ⭐ 11

Simple Artificial Neural Network with Backpropagation in Excel spreadsheet with XOR example - for education purpose;

Genetic Neural Network ⭐ 11

Training a Neural Network using Genetic Algorithm.

A deep, functional, idiomatic, neural-network in Clojure.

Nim Rmad ⭐ 10

Autograd (backpropagation, reverse-mode auto differentiation) in Nim

Spikingtorch ⭐ 9

A pytorch implementation of spiking neural networks and backpropagation through spikes

Pso For Neural Nets ⭐ 9

Particle Swarm Optimizer For Neural Network Training

Quantization-aware training with spiking neural networks

Neuralnetstudio ⭐ 8

Platform + GUI for hyperparameter optimization of recurrent neural networks (MATLAB).

🧠 A simple feedforward neural network

Bpnn Face Recognition For Qt ⭐ 8

👦 A Face Recognition System Based on BPNN(Back Propagation Neural Network) Developed by Qt.

Artificial Neural Network library written in Ruby

Digit Recognition ⭐ 8

Training an ANN and a CNN to recognize handwritten digits using back-propagation algorithm on MNIST data-set

protonet is an implementation of the backpropagation algorithm written in C#

Neural_network_from_scratch ⭐ 7

Neural network/Back Propagation implemented from scratch for MNIST.从零开始实现神经网络和反向传播算法，识别MNIST

Rnnpresentation ⭐ 7

RNNpresentation: A presentation about Recurrent Neural Network (RNN)

Aprendiendodeeplearning ⭐ 7

Enlaces y recursos sobre redes neuronales y deep learning

Go Neural Network ⭐ 7

Modifiable neural network

Qneuralnet ⭐ 7

Multi-layer backpropagation neural network implementation in Qt

Bidirectional ⭐ 6

Complete project for paper "Bidirectional Learning for Robust Neural Networks"

Deep Learning For Professionals ⭐ 6

For the Galvanize Deep Learning Evening Course 9/18

Most Influential Data Science Research Papers ⭐ 6

"Data scientists are kind of like the new Renaissance folks, because data science is inherently multidisciplinary." ― John Foreman

All Optical Neural Networks ⭐ 6

Supporting code for "End-to-end optical backpropagation for training neural networks".

A neural network library written simply, efficiently and clearly. Supports convolutional NN.

Rede Neural Simples Java ⭐ 6

Rede neural simples em java

Machine Learning Examples ⭐ 6

Grokking Deep Learning Notebooks ⭐ 5

Notes & Code to go over "Grokking Deep Learning" Book by Andrew Trask

Archconvnets ⭐ 5

Architecturally optimized neural networks trained with regularized backpropagation

Neural Texture Transfer ⭐ 5

Apply any texture to an image without changing the colors of its content

Backpropagation Neural Network by java

Spikingmoyf ⭐ 5

Spiking Neural Network

Digit Recognition Ann ⭐ 5

Training an artificial neural network using back-propagation on MNIST dataset

One Fourth Labs Deep Learning ⭐ 5

Code and Documents related to Deep Learning Course at padh.ai

Backpropagation Neural Network For Multivariate Time Series Forecasting ⭐ 5

Backpropagation Neural Network for Multivariate Time Series Forecasting (multi input single output: 2 inputs and 1 output)

Backprop1 ⭐ 5

Simple 3 layer backpropagation neural network w/3 demo applications (point classifier, XOR, 0-9 recognition)

Neural Networks And Deep Learning Ko ⭐ 5

Translation of Neural Networks and Deep Learning by Michael Nielsen

Optical character recognition using backpropagation with a 3-layer neural network

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