byx2000/AutoDiff

Automatic derivative calculation of scalar functions.

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git-steb/structural-deformable-models

Multi-shape detection algorithm in C++ with OpenGL GUI

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bhargav-joshi/Gradient-Descent-in-Linear-Regression

Gradient Descent is the process of minimizing a function by following the gradients of the cost function. This involves knowing the form of the cost as well as the derivative so that from a given point you know the gradient and can move in that direction, e.g. downhill towards the minimum value.

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sahil210695/gradient-descent

A simplified explanation of gradient descent for linear regression in python using numpy

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hasanzaidi/gradient-descent

Repo for demonstrating gradient descent algorithms used in Machine Learning in Python 3

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bamtak/momentum-in-ml

Momentum in Machine Learning

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susiexia/Supervised_Machine_Learning

Supervised ML models

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Rangozhang/LearningtoLearnUsingRL

This is a workspace for meta-learning methods using Reinforcement learning

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mrzjy/controllable-text-attribute-transfer

Tensorflow implementation of "Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation" (NeurIPS 2019)

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SadmanSakib93/Gradient-Descent

Implemantation of Gradient Descent from scratch using Python.

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nitinkamra1992/parallel-gradient-descent

Parallelization of Gradient Descent on Feedforward Neural Networks

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sadatrafsanjani/Neural-Network

Neural network built from scratch

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akshayush/FeedForward-and-BackPropagation-DNN-for-multiclass-classification

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Spandyie/Exponential-regression-using-Gradient-descent

This repository contains the code that does exponential regression using gradient descent optimizer.

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sristishree/Logistic-regression-with-and-without-regularization

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hengbinxu/Gradient-Descent-Implementation

Demonstrate gradient descent

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kaustubholpadkar/Linear_Regression_Simulation

Simulation of Linear Regression algorithm using P5.JS

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bside89/artificial_intelligence_practice3

Practical activity #3, Artificial Intelligence, in Computer Engineering graduation.

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