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.

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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.

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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.

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rayyan-khan/0-final-versions

final versions of projects from TJHSST AI class 2018-19

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fau-masters-collected-works-cgarbin/cap6619-deep-learning

CAP6619 Deep Learning FAU CS master's Fall 2018

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trustorno/Alphagan

Language: Python - Size: 64.7 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

dennorak/exo

Functioning Conversational AI using custom models.

Language: Python - Size: 17.3 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

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

Language: R - Size: 9.33 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

pburkepro/trojan-traffic-classification

R script to classify trojan vs. benign traffic utilizing various machine learning models

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LWFlouisa/NeuroSymbolicNode

A node in a neuro symbolic swarm.

Language: Ruby - Size: 14.6 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

LWFlouisa/AhusacosInterpreter

A neural networt that comes with its own scripting language.

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ramapitecusment/student_academic_performance

Prediction of Students' Academic Performance Dataset: Cart Trees, Random Forest, Cross Validation and Neuralnet

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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.

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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.

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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.

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itsss/2021-KU-COSE474

Deep Learning Programming Assignment (MSE, Classifiers(Softmax, SVM), Backpropagation, Neural Network, MNIST CNN, ResNet)

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abs12seth/Chatbot

Simple chatbot implementation.

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dl-thops/NeuralNet

Implementation of a Feed Forward Neural Networks.

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keizerzilla/aprendizado-de-maquina

Notas e experimentos em diversos métodos e algoritmos de Aprendizado de Máquina visando a criação de apontamentos acessíveis e didáticos.

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umangU/Neural-Networks

Feed Forward Neural Networks

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lfoppiano/deep-learning-tutorials

Tutorials, courses, solved exercises and examples of Deep Learning

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yu-takagi/chainer-neuralprocesses

Implementation of Neural Processes with chainer

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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 .

Language: Python - Size: 40 KB - Last synced at: about 2 years ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 1

perdumonocle/neuralnet2cpp

Compute your R 'neuralnet' neural network using cpp code

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