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72 search results found

Deep learning in Rust, with shape checked tensors and neural networks

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

Factor Network ⭐ 525

A simple factor network implementation written by JavaScript

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.

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.

Visualisation tool for CNNs in pytorch

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.

SPINN (Stack-augmented Parser-Interpreter Neural Network): fast, batchable, context-aware TreeRNNs

Backprop ⭐ 180

Heterogeneous automatic differentiation ("backpropagation") in Haskell

Probabilistic Backpropagation ⭐ 159

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

Build neural networks based only on Numpy

Machine_learning_2018 ⭐ 146

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

A simple machine learning framework written in Swift 🤖

The Math Behind A Neural Network ⭐ 118

📄 The math behind the neural network used for Olivia

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

Neuroflow ⭐ 85

Awesome deep learning crate

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.

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。

Bp Algorithm ⭐ 59

一文彻底搞懂BP算法：原理推导+数据演示+项目实战

Julia artificial neural networks

Blur And Clear Classification ⭐ 56

Classifying the Blur and Clear Images

Machine Learning In Python Workshop ⭐ 54

My workshop on machine learning using python language to implement different algorithms

Artificialintelligenceengines ⭐ 48

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

Bipropagation ⭐ 41

Stock Market Prediction Using Neural Network Models (Backpropagation, RNN LSTM, RBF) using keras with Tensorflow backend

Neural Network From Scratch ⭐ 38

A neural network library written from scratch in Rust along with a web-based application for building + training neural networks + visualizing their outputs

PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"

Neuralduino ⭐ 35

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

Learningtolearnbohp ⭐ 30

Backpropagation training of neural networks with Hebbian plastic connections

Learning Lab C Library ⭐ 30

This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated

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.

Gabornet ⭐ 24

Cerebrum ⭐ 24

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

Feedback Alignment Pytorch ⭐ 23

Implementation of feedback alignment learning in PyTorch

Minimalistic Multiple Layer Neural Network From Scratch In Python ⭐ 21

Minimalistic Multiple Layer Neural Network from Scratch in Python.

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.

New_grad ⭐ 18

A new lightweight auto-differentation library that directly builds on numpy. Used as a homework for CMU 11785/11685/11485.

Littlebrain ⭐ 17

Multi-layer Neural Network in Javascript

Neuralnetworkplayground ⭐ 17

A website in which you can customize, train and visualize changes in your neural networks as they learn. You can also upload your own datasets and change any parameters

Coursera Imperial College Of London Mathematics For Machine Learning Specialization ⭐ 16

This Repository contains Solutions to the Quizes & Lab Assignments of the Mathematics for Machine Learning Specialization offered by Imperial College of London on Coursera taught by David Dye, Samuel J. Cooper, A. Freddie Page, Marc Peter Deisenroth

A tiny deep learning library written in Java

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.

Machinelearning ⭐ 13

From linear regression towards neural networks...

Neural Network With Genetic Algorithm Optimizer ⭐ 13

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

Neural Networks Py ⭐ 12

Core neural networks framework supporting to build multilayer perceptron

Backpropagation C ⭐ 12

Available when training a Neural Network, or an Autoencoder.

Yet another NEAT implementation

Neuralnetwork ⭐ 11

numpy implementation of a feed forward neural network with backpropagation

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.

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.

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

Things I taught at MIPT Data Mining In Action in Spring 2016

Pso For Neural Nets ⭐ 9

Particle Swarm Optimizer For Neural Network Training

a lightweight and versatile artificial neural network simulator

Automatic differentiation in python

Low level C++ neural network engine. The engine provides a huge flexibility in creating neural networks. It also gives an ability for performance optimisations.

Digit Recognition ⭐ 8

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

Artificial Neural Network library written in Ruby

Mnist_neural_network ⭐ 8

An neural network to classify the handwritten digits 0-9 for the MNIST dataset. No NN/ML libraries used.

Bpnn Face Recognition For Qt ⭐ 8

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

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

🧠 A simple feedforward neural network

Rnnpresentation ⭐ 7

RNNpresentation: A presentation about Recurrent Neural Network (RNN)

Go Neural Network ⭐ 7

Modifiable neural network

Bpnn Face Recognition For Parallel ⭐ 7

基于并行BP神经网络的人脸识别系统（并行）

Aprendiendodeeplearning ⭐ 7

Enlaces y recursos sobre redes neuronales y deep learning

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

Neuralswift ⭐ 7

The simplest neural network library on Swift

C_neuralnetwork ⭐ 6

A Neural Network Kernel written in C and uses python wrappers for interacting with the kernel

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

🧠 ∿ 🔓 A file-storage application with ultra-mega-secure authentication using brain biometrics.

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".

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

Mnist Ai Up ⭐ 6

Learning deep learning 😎 and neuroevolution 👾 ⭐

Bidirectional ⭐ 6

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

Pytorch Dni ⭐ 5

Decoupled Neural Interfaces Using Synthetic Gradients - under develeopment

Exercise Breast Cancer ⭐ 5

Python feed-forward neural network to predict breast cancer. Trained using stochastic gradient descent in combination with backpropagation.

Neural Networks And Deep Learning Ko ⭐ 5

Translation of Neural Networks and Deep Learning by Michael Nielsen

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)

Spikingmoyf ⭐ 5

Spiking Neural Network

Deepneuralnetworksfromscratch ⭐ 5

Different kinds of deep neural networks (DNNs) implemented from scratch using Python and NumPy, with a TensorFlow-like object-oriented API.

Grokking Deep Learning Notebooks ⭐ 5

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

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