gradient-descent-algorithm
There are 137 repositories under gradient-descent-algorithm topic.
SGDLibrary
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
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.
PadhAI-Course
Repository containing the colab-notebooks of the course i did on deep learning from One-Fourth-Labs
Gradient-Descent-Algorithms
A collection of various gradient descent algorithms implemented in Python from scratch
OLSTEC
OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1
Paper-Implementation-Overview-Gradient-Descent-Optimization-Sebastian-Ruder
[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder
gradient-descent-variants
My implementation of Batch, Stochastic & Mini-Batch Gradient Descent Algorithm using Python
Machine-Learning-and-Signal-Processing-Algorithms
MATLAB implementations of a variety of machine learning/signal processing algorithms.
d3-gradient-descent
D3.js | Visualization of the gradient descent algorithm for linear regression
ML-Models
A repository consisting of implementation of all machine learning models.
Nonlinear-Optimization-Algorithms
Implementation of nonlinear Optimization Algorithms in Python
Subsampled-RTR
Subsampled Riemannian trust-region (RTR) algorithms
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.
LoanDataEDA
:blue_book: Detailed Exploratory Data Analysis of Lending Club Loan Data
Convex-Optimization
Implementation of Convex Optimization algorithms
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.
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
machine-learning-projects
Predicting wine quality using regression on the well-known UCI data set and more
adaptive-model-predicitive-control-matlab
Adaptive Model Predicitive Control - Matlab
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
gradient-descent
A simple demonstration of gradient-descent algorithm in C++ on a linear funciton.
GradientDescentCSharp
Linear Gradient Descent using C#
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.
gradient-descent
An overview of gradient descent optimization algorithms
Gradient-Descent-Visualisation
Linear line fitting to data and optimising parameters with Gradient Descent algorithm
Gradient-Descent
Gradient Descent for N features using two datasets: Boston House data, Power Plant Data
Animation-of-Linear-Regression-Model-with-Tensorflow
Utilizing Tensorflow's animation capabilities to visualize a Linear Regression model built for predicting House Prices.
Overview-Gradient-Descent-Optimization-By-Sebastian-Ruder
"Simulations for the paper 'A Review Article On Gradient Descent Optimization Algorithms' by Sebastian Roeder"
machine_learning_models
Assignments from Applied Machine Learning Class (UTD BUAN-6341)
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.
Machine-Learning-Divorce-Prediction
A Logistic model for predicting divorce rates among couples, implemented using the sklearn library.
Facebook-Comment-Prediction-with-Linear-Regression
Predicting the number of comments on a post with Linear Regression, built from scratch.
Robot-Traversal-II
Motion Planning and Navigation (Traversal using Gradient Descent Algorithm)