gradient-descent-algorithm
There are 136 repositories under gradient-descent-algorithm topic.
hiroyuki-kasai/SGDLibrary
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
Madhu009/Deep-math-machine-learning.ai
A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
satyajitghana/PadhAI-Course
Repository containing the colab-notebooks of the course i did on deep learning from One-Fourth-Labs
Arko98/Gradient-Descent-Algorithms
A collection of various gradient descent algorithms implemented in Python from scratch
hiroyuki-kasai/OLSTEC
OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1
harshraj11584/Paper-Implementation-Overview-Gradient-Descent-Optimization-Sebastian-Ruder
[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder
bhattbhavesh91/gradient-descent-variants
My implementation of Batch, Stochastic & Mini-Batch Gradient Descent Algorithm using Python
clarkzinzow/Machine-Learning-and-Signal-Processing-Algorithms
MATLAB implementations of a variety of machine learning/signal processing algorithms.
nl-hugo/d3-gradient-descent
D3.js | Visualization of the gradient descent algorithm for linear regression
hiroyuki-kasai/Subsampled-RTR
Subsampled Riemannian trust-region (RTR) algorithms
Paulnkk/Nonlinear-Optimization-Algorithms
Implementation of nonlinear Optimization Algorithms in Python
bhushan23/Convex-Optimization
Implementation of Convex Optimization algorithms
prakhargurawa/Force-Directed-Graph-Layout
An interesting application of gradient descent aims to stabilize any input graph such that the forces applied on each node are minimum and the overall model is stable. Visualization is perform using NetworkX.
SidJain1412/LoanDataEDA
:blue_book: Detailed Exploratory Data Analysis of Lending Club Loan Data
f-z/machine-learning-projects
Predicting wine quality using regression on the well-known UCI data set and more
krpiyush5/Quora-Question-Pair-Similarity-Problem-
Identify which questions asked on Quora are duplicates of questions that have already been asked.This could be useful to instantly provide answers to questions that have already been answered,predict whether a pair of questions are duplicates or not
labrijisaad/Gradient-Descent-Algorithm-with-Python
in this project we'll Implement the basic functions of the Gradient-Descent algorithm to find the boundary in a small dataset.
AdamWonia/adaptive-model-predicitive-control-matlab
Adaptive Model Predicitive Control - Matlab
corvasto/GradientDescentCSharp
Linear Gradient Descent using C#
Elktrn/tensorflow-2.0-simple-linear-regression-whitout-keras
Simple linear regressor that tries to approximate a simple function deployed in Tensorflow 2.0 without Keras
mehmoodulhaq570/Machine-Learning-Models
A repository consisting of implementation of all machine learning models.
tanvirtin/gradient-descent
A simple demonstration of gradient-descent algorithm in C++ on a linear funciton.
nrsharip/gradient-descent
An overview of gradient descent optimization algorithms
omerfarukeker/Gradient-Descent-Visualisation
Linear line fitting to data and optimising parameters with Gradient Descent algorithm
sabeelahmad/Gradient-Descent
Gradient Descent for N features using two datasets: Boston House data, Power Plant Data
sonaliramji/Animation-of-Linear-Regression-Model-with-Tensorflow
Utilizing Tensorflow's animation capabilities to visualize a Linear Regression model built for predicting House Prices.
sugatagh/Implementing-Logistic-Regression-from-Scratch
While it is convenient to use advanced libraries for day-to-day modeling, it does not give insight into the details of what really happens underneath, when we run the codes. In this work, we implement a logistic regression model manually from scratch, without using any advanced library, to understand how it works.
jElhamm/Overview-Gradient-Descent-Optimization-By-Sebastian-Ruder
"Simulations for the paper 'A Review Article On Gradient Descent Optimization Algorithms' by Sebastian Roeder"
krish1919ls/machine_learning_models
Assignments from Applied Machine Learning Class (UTD BUAN-6341)
nikitaa30/Facebook-Comment-Prediction-with-Linear-Regression
Predicting the number of comments on a post with Linear Regression, built from scratch.
nnakul/language-modelling
Using language modelling to develop a text-completion application; studying interpolation of several n-gram models and opimisation of interpolation weights to minimise the perplexity of the model.
nofaralfasi/Machine-Learning-Divorce-Prediction
A Logistic model for predicting divorce rates among couples, implemented using the sklearn library.
Royal2/Robot-Traversal-II
Motion Planning and Navigation (Traversal using Gradient Descent Algorithm)