neuralnet
There are 26 repositories under neuralnet topic.
benrayfield/wikibinator203
Lambda called on lambda finds/creates lambda, each with lazy-evaled 256 bit global DAG ids. Each lambda has 2 child lambdas. A kind of number that is a universal-pattern-calculus-combinator. Axgob.js (in dagball project, lib dir) is incomplete newer version of this. A fork-editable multiverse of all possible lambdas.
yu-takagi/chainer-neuralprocesses
Implementation of Neural Processes with chainer
benrayfield/DagBall
A game where you slide a 2d surface (the screen) through a space of possible 300-dimensional voxels (up to 1000) defined by small pieces of code and artistic use of the high dimensional editing tools. Balls roll around pushing on the 300 dimensional heightmap, moving the screen in 300d.
lfoppiano/deep-learning-tutorials
Tutorials, courses, solved exercises and examples of Deep Learning
claudio-bon/sparse-net
In this project I have implemented the forward function of a Neural Network composed of sparsely connected layers. In order to parallelize the forward function I have built two implementation: one uses OpenMP and the other uses CUDA.
dl-thops/NeuralNet
Implementation of a Feed Forward Neural Networks.
fau-masters-collected-works-cgarbin/cap6619-deep-learning
CAP6619 Deep Learning FAU CS master's Fall 2018
keizerzilla/aprendizado-de-maquina
Notas e experimentos em diversos métodos e algoritmos de Aprendizado de Máquina visando a criação de apontamentos acessíveis e didáticos.
ramapitecusment/student_academic_performance
Prediction of Students' Academic Performance Dataset: Cart Trees, Random Forest, Cross Validation and Neuralnet
abs12seth/Chatbot
Simple chatbot implementation.
aghaPathan/ML-Classifier-Comparision
This repository contains Jupyter Notebook file containing the code to compare different sklearn classifiers on a dataset. Then it saves the output .png results in the working folder.
Arek-KesizAbnousi/Neural_Networks
Fit four different neural networks: (a) Two distinct single hidden layer neural networks. (b) Two distinct neural networks with two hidden layers. Compare the accuracy of these four Neural networks among them. Also compare it to other classification methods.
CharlesHEaster/NeuralNet
My attempt to create a framework to create and train neural networks through fitness evolution.
dennorak/exo
Functioning Conversational AI using custom models.
JakubIg/Football_score_prediction_neural_network
Building a neural network predicting football match score
NickRig7/Churn-Modelling-Artificial-Neural-Network
The dataset I am working with is from finance industry. The dataset contains a total dimensions of 14 variables across 5181 observations.
pburkepro/trojan-traffic-classification
R script to classify trojan vs. benign traffic utilizing various machine learning models
rayyan-khan/0-final-versions
final versions of projects from TJHSST AI class 2018-19
ricardoamoedo/rede_neural_taxa_selic_R
Algoritmo de redes neurais desenvolvido em R, com o RStudio para previsão da taxa SELIC entre os anos de 2017 e 2020.
TPhaahla/Intro-To-ML
This repository contains files containing attempts at solutions to problems for lab sessions part of a lecture series prepared for a 2-week introductory course to machine learning by Etienne A.D Pienaar
umangU/Neural-Networks
Feed Forward Neural Networks
yusuke-kawaian/introduction_of__ML_by_R
The trial about construction ML model by R and memo. Rによる機械学習モデルの構築についての試行とメモ.
itsss/2021-KU-COSE474
Deep Learning Programming Assignment (MSE, Classifiers(Softmax, SVM), Backpropagation, Neural Network, MNIST CNN, ResNet)
perdumonocle/neuralnet2cpp
Compute your R 'neuralnet' neural network using cpp code
runyanjake/summersim
[DEPRECATED IN FAVOR OF /runyanjake/evolutions] A summer project aimed to build a multi-function simulation centered around an evolutionary neural net module (using Google TensorFlow or proprietary implementation). Concepts stem from https://www.youtube.com/watch?v=ghwXmA1s1I4 .