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updated 6 months ago

Efficient Beltrami Image Denoising and Deconvolution by Dominique Zosso

Dominique Zosso

Implementation of our Primal-Dual Projected Gradients algorithm for efficient Beltrami regularizatio (beltrami, image denoising, nonblind deconvolutio...)

BackwardX(v)

BackwardY(v)

BeltramiPD( I0, beta, lambda, r1, r2, tol, Maxit )

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updated almost 2 years ago

Linear Gradient Descent from lectures of Andrew Ng by Lukas Tencer

Lukas Tencer

This is an algorithm for fitting linear model to multivariate data. (gradient descent, mathematics, optimization)

geadientDescent( data )

loadData( type )

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updated 2 years ago

Optimal Inverse Function Creation by Alan Jennings

Alan Jennings

Creates continuous, optimal inverse-functions: given a desired output, finds the optimal input (inverse, optimization, multidimensional)

InvFun_Test

InvFuntions=InvFun(Pop_I,ProbStrut)

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updated 2 years ago

Gradient Descent by Sachinthaka

Sachinthaka

This function finds the local minima of a function. (gradient descent, optimisation, optimization)

[val grad]=test_func(x)

[x val]=gradient_descent(func,x, varargin)

test_grad_descent.m

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updated almost 3 years ago

Gradient Descent Visualization by simar

simar

This file visualises the working of gradient descent(optimisation algo) program on each iteration. (visualisation, gradient descent, mathematics)

gra_des.m

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updated 5 years ago

Linear Regression by michael scheinfeild

michael scheinfeild

linear regressing fit to line in the method of gradient descent for minimizing square error (linear regression, gradient descent, fitting line)

gradient_descent_opt(xi,yi,theta_st,nsteps,mindiff,learnr...

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updated 6 years ago

A very simple and intuitive neural network implementation by Carl Löndahl

Carl Löndahl

Short code and easy to understand. Example data set provided. (backpropagation, neural network, machine learning)

mendez()

neural.m

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