sovunia-hub/mathematical-modeling-of-applied-problems

This repository focuses on mathematical modeling of applied problems, particularly in the field of numerical methods for solving equations.

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TushaarGVS/backprop-lecture-notes-CS-4740

Lecture notes on backpropagation

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mayankmittal29/AlgoVision-Statistical_Methods_in_AI

Implementation of various machine learning algorithms from scratch, including Linear Regression, K-Nearest Neighbors, Decision Trees, and K-Means clustering. Also done EDA on data, Implemented LSH, IVF, SLIC algorithms also with evaluation metrics

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Zer0-Bug/ML_GradientDescent-.-FindThetaValues

Implementation is to use gradient descent to find the optimal values of θ that minimize the cost function.

Language: Python - Size: 1.17 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

drkocoglu/Machine_Learning_Class

Machine Learning Class - ECE - TTU - Spring 2020

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francesco-innocenti/pc-saddles

Code for NeurIPS 2024 paper "Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?"

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Vishal-sys-code/machine-learning-complete-guide

The Complete Machine Learning Repository

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SantiagoEnriqueGA/custom_neural_net

This repository focuses on building a neural network from scratch using only base python and Numpy.

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synkathairo/geodesic-optimization

Implementation of geodesic optimization methods in Julia.

Language: Julia - Size: 49.8 KB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

RubixML/Sentiment

An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.

Language: PHP - Size: 34 MB - Last synced at: 5 days ago - Pushed at: about 2 years ago - Stars: 112 - Forks: 14

JRC-ISIA/ml-optimized-orthogonal-basis-1d-pp

Experimental Python code developed for research on: H. Waclawek and S. Huber, “Machine Learning Optimized Orthogonal Basis Piecewise Polynomial Approximation,” in Learning and Intelligent Optimization, Cham: Springer Nature Switzerland, 2025, pp. 427–441.

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donutloop/machine-learning-research-papers

Collection of machine learning research paper references

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MohammedSaqibMS/Optimization_methods

Description: This repository implements a 3-layer neural network to compare the performance of Gradient Descent, Momentum, and Adam optimization algorithms on a dataset, highlighting their training accuracy and convergence behavior.

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MohammedSaqibMS/Planar_data_classification_with_onehidden_layer

This repository implements a simple neural network for binary classification of 2D planar data using Python and NumPy. It compares logistic regression with neural networks and includes code for forward/backward propagation, gradient descent, and decision boundary visualization.

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MohammedSaqibMS/Regularization

This repository implements a 3-layer neural network with L2 and Dropout regularization using Python and NumPy. It focuses on reducing overfitting and improving generalization. The project includes forward/backward propagation, cost functions, and decision boundary visualization. Inspired by the Deep Learning Specialization from deeplearning.ai.

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MohammedSaqibMS/Logistic-Regression-as-a-Neural-Network

Logistic Regression with Neural Network Principles: This repository implements logistic regression for classifying cat vs. non-cat images, incorporating neural network concepts like sigmoid activation and gradient descent using Python and key libraries.

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apotox/js-tinygrad

tiny grad backpropagation engine, just for fun

Language: JavaScript - Size: 3.91 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

noway/yagrad

yet another scalar autograd engine - featuring complex numbers and fixed DAG

Language: Python - Size: 6.84 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 26 - Forks: 2

EN10/CIFAR

CIFAR 10 image dataset

Language: Python - Size: 28.3 KB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 50 - Forks: 13

TapasKumarDutta1/deep_neural_network_from_scratch_pneumonia_detection

This code implements a CNN from scratch using NumPy, including custom convolutions, pooling, dense layers, activation functions, forward/backpropagation, weight updates, and training on grayscale chest X-ray images.

Language: Jupyter Notebook - Size: 6.42 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

RubixML/Housing

An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.

Language: PHP - Size: 617 KB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 51 - Forks: 22

pockerman/qubic_engine

Collection of C++ based algorithms on numerics, statistics, control, reinforcement learning, machine learning and robotics

Language: C++ - Size: 9.96 MB - Last synced at: 29 days ago - Pushed at: over 3 years ago - Stars: 10 - Forks: 1

cserajdeep/ML-Tutorials

My repository for python implementation of a few prominent machine learning algorithms

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ahmedfgad/IntroDLPython

This repository is updated by a number of introductory projects to deep learning with Python.

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krippner/auto-diff

A modular C++17 framework for automatic differentiation

Language: C++ - Size: 153 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 5 - Forks: 0

javascript-machine-learning/linear-regression-gradient-descent

⭐️ Linear Regression with Gradient Descent in JavaScript (Unvectorized, Visualized)

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Perer876/gradient-descent

HW 1 - Gradient descent

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prashantkoirala465/Text-Scroll-Awwawards

A stunning text animation demo inspired by award-winning websites, featuring a smooth scroll-based opacity transition effect. This project demonstrates how to create an engaging text reveal animation that responds to user scroll, similar to effects seen on websites like matvoyce.tv and thirtysixstudio.com.

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camara94/formation-deep-learning

Les bases du Deep Learning en Intelligence Artificielle.

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ClementL4ndry/Superconductivity-dataset-prediction-Phys-231

Graded homework for the class Phsy-231 @EPFL

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Haus226/OptViz

Language: Python - Size: 205 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

CPS-research-group/dtsemnet

Implementation of DTSemNet Architecture

Language: Python - Size: 40.6 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 4 - Forks: 0

FrienDotJava/linear-regression-from-scratch

A machine learning project building a Linear Regression model from scratch using python without help from ML libraries.

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nprimavera/Data-Science-for-Mechanical-Systems-ML-

Code created during a Machine Learning class at Columbia University

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shreyansh26/ML-Optimizers-JAX

Toy implementations of some popular ML optimizers using Python/JAX

Language: Python - Size: 10.7 KB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 44 - Forks: 2

MrGeislinger/flatiron-school-data-science-curriculum-resources

Lesson material on data science and machine learning topics/concepts

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adheep04/style-transfer-generator

An AI image generator that stylizes a photo given 2 inputs: the image whose style to mimic, the picture to apply it on

Language: Python - Size: 211 MB - Last synced at: about 22 hours ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

bhattbhavesh91/gradient-descent-variants

My implementation of Batch, Stochastic & Mini-Batch Gradient Descent Algorithm using Python

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NiMlr/pynlqn

Global Optmization with Gradients: Python implementation of an experimental non-local Newton method

Language: Python - Size: 10.7 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

Huginode/Brainsight

Machine learning project using linear regression and gradient descent to determine a person has brain tumor or not .

Language: Python - Size: 10.5 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

kirushyk/le

Low-level Machine Learning Library

Language: C - Size: 12.8 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 17 - Forks: 3

igorjakus/nomad

Numerical Optimization, Mathematics and Automatic Differentiation library in OCaml!🐫

Language: OCaml - Size: 656 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

aromanro/MachineLearning

From linear regression towards neural networks...

Language: C++ - Size: 250 MB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 24 - Forks: 0

gokadin/ai-simplest-network

The simplest form of an artificial neural network explained and demonstrated.

Language: Go - Size: 259 KB - Last synced at: about 2 months ago - Pushed at: almost 5 years ago - Stars: 399 - Forks: 30

jethronap/jstat

A Java Library for Statistics, Data Analysis and Visualization.

Language: Java - Size: 1.3 MB - Last synced at: 29 days ago - Pushed at: about 2 years ago - Stars: 12 - Forks: 1

NotShrirang/optim

A repo that contains source code for my blog "Deep Learning Optimizers: A Comprehensive Guide for Beginners (2024)"

Language: Python - Size: 29.3 KB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

virgantara/gradient-descent

Gradient Descent Simulation / Animation for Linear Regression in PHP

Language: PHP - Size: 10.7 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

udit-rawat/Synthax

A JAX + SymPy based project that explores optimization in ML using hessian matrix and graidents.

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MoinDalvs/Gradient_Descent_For_beginners

Gradient_descent_Complete_In_Depth_for beginners

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DanielDialektico/mlektic

A simple machine learning python library.

Language: Python - Size: 2.38 MB - Last synced at: 17 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

GoldSharon/logistic-regression-from-scratch

A Logistic Regression model built from scratch in Python using NumPy, without ML libraries. It includes gradient descent, binary classification, and adjustable learning rates, demonstrating training, predictions, and weight updates with sigmoid activation.

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camara94/visualizing-filters-cnn-tensorflow

Welcome to Visualizing Filters of a CNN using TensorFlow. This is a project-based course which should take less than 1 hours to finish. Before diving into the project, please take a look at the course objectives and structure:

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adityajn105/Al-Algos-from-Scratch

Some basic AI/ML/DL algorithms implemented from scratch for understanding purposes.

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wagenaartje/torch-cgd

A fast implementation of adaptive competitive gradient descent in PyTorch 🤺

Language: Python - Size: 22.5 KB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 0

steq28/polynomial-regression

Polynomial Regression with Gradient Descent using PyTorch. This repo includes functions for plotting polynomials, generating noisy datasets, and training a linear regression model. Features visualizations for loss tracking and coefficient comparison.

Language: Python - Size: 1.08 MB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

ivallesp/awesome-optimizers

Neural Network optimizers implemented from scratch in numpy (Adam, Adadelta, RMSProp, SGD, etc.)

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minar09/awesome-deep-learning-techniques

A curated list of awesome deep learning techniques for deep neural networks training, testing, optimization, regularization etc.

Size: 9.77 KB - Last synced at: 8 days ago - Pushed at: almost 5 years ago - Stars: 9 - Forks: 2

MarkPhamm/Stats-Calculator

A user-friendly app for performing various statistical analyses. Easily calculate and visualize key statistics including mean, median, standard deviation, and more. Ideal for quick and accurate data analysis.

Language: Python - Size: 1.4 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

Asura3301/MicroGrad

Personal Projects | Reference for Andrej Karpathy

Language: Jupyter Notebook - Size: 225 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

ai-projs/neural-networks

Notes and examples of the Neural Networks and Deep Learning course

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Khushi130404/Ensemble-Learning

This project demonstrates various ensemble learning techniques using Jupyter Notebook. The goal is to explore how ensemble methods can improve the performance of machine learning models for both regression and classification tasks.

Language: Jupyter Notebook - Size: 1.36 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

AryaR-06/linear-regression

A Python project demonstrating basic linear regression with gradient descent and matrix operations, alongside scikit-learn comparison.

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AntonioRochaAZ/Basic-Optimization-Framework---FORTRAN-90

Small project for relearning FORTRAN 90 and studying optimization concepts. This project is a generic framework over which simple optimization methods can be built upon and run.

Language: Fortran - Size: 540 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

markmusic27/gradient-descent-engine

🏒 A gradient decent engine optimized for linear regression models.

Language: Python - Size: 43.9 KB - Last synced at: 20 days ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 1

matsjfunke/feedforward-neural-network-from-scratch

Fully Connected Neural Network (FCNN) from scratch in python & Notes to aid understanding the workings of neural networks

Language: Python - Size: 30 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 6 - Forks: 1

12danielLL/Neural_Networks_Project

The project focuses on analyzing neural activity data to classify neuron types (spiny and aspiny). It integrates unsupervised learning methods (PCA, Autoencoders) and supervised learning models (Logistic Regression, MLP) to build accurate classifiers that effectively analyze neurons' electrical responses.

Language: Jupyter Notebook - Size: 2.93 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

sushant1827/Dinosaurus_Island_Character

Coursera - RNN Programming Assignment: In this project, we are in charge of a special task: Leading biology researchers are creating new breeds of dinosaurs and bringing them to life on earth, and our job is to give names to these dinosaurs. If a dinosaur does not like its name, it might go berserk, so choose wisely!

Language: Jupyter Notebook - Size: 6.25 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

GuilhemRep/Graph2LaTeX

Gradient descent to convert an abstract graph to a readable planar representation

Language: OCaml - Size: 1.88 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

MansurPro/DigitRecognizer

DigitRecognizer is a simple, handcrafted neural network implemented with NumPy to classify handwritten digits from the MNIST dataset. This project demonstrates the foundational principles of neural networks, including forward propagation, backpropagation, and gradient descent, all built from scratch without relying on deep learning frameworks.

Language: Python - Size: 10.8 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

Honeybeei/42-linear-regression

Train a linear regression model using the gradient descent algorithm. First step to machine learning.

Language: Python - Size: 51.8 KB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

msikorski93/Linear-Regression-From-Scratch

Different solutions of linear and polynomial regression made from scratch.

Language: Jupyter Notebook - Size: 1.26 MB - Last synced at: 14 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Pabloo22/dlfs

Implementation from scratch (using numpy arrays) of a framework based on keras interface which allows to build and train Fully Connected Networks and Convolutional Neural Networks (CNNs).

Language: Python - Size: 1.69 MB - Last synced at: 6 days ago - Pushed at: 11 months ago - Stars: 5 - Forks: 3

leogaudin/dslr

42 • A guide to implement a linear classification model: logistic regression.

Language: Python - Size: 2.53 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

CAI991108/Machine-Learning-Utils

This repository contains the Python code and solutions for machine learning, including supervised and unsupervised learning, regularization, cross-validation, PCA, and support vector machines (SVM).

Language: Jupyter Notebook - Size: 11.2 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Sushmey/Iterative-Gauss

This contains three programs written in python. Gauss-Seidel and Successive Over Relaxation to solve system of equations and Steepest-Descent to minimize a function of 2 or 3 variables.

Language: Python - Size: 7.81 KB - Last synced at: 16 days ago - Pushed at: 6 months ago - Stars: 3 - Forks: 3

teja-1403/Coursera-Introduction-to-Neural-Networks-and-Pytorch-Honors

This project focuses on building a logistic regression model in PyTorch to predict League of Legends match outcomes using in-game statistics. It covers data preprocessing, model training, and optimization with techniques like L2 regularization and hyperparameter tuning.

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alloverheada2/Gradient-Full

Size: 2.93 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

Bushra-Butt-17/DeepLearning-Projects

This repository contains my assignments and projects related to deep learning, including implementations of fundamental concepts such as Linear Regression, Gradient Descent, Multi-Layer Perceptron (MLP), and more. Each section includes code, explanations, and relevant documentation. The goal of this repository is to showcase my learning journey.

Language: Jupyter Notebook - Size: 10.5 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

Khushi130404/Logistic_Regression

This repository demonstrates logistic regression using step and sigmoid functions, gradient descent, and sklearn for comparison. It includes visualizations and comparisons to provide a clear understanding of the model.

Language: Jupyter Notebook - Size: 275 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

ewdlop/ComputingNeuralNetworksNote

Language: Jupyter Notebook - Size: 117 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

ederricho/MiniProjects

Projects Used to Solidify Knowledge

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OmidGhadami95/ALS_vs_GradientDescent

Matrix Factorization (ALS vs Gradient Descent)

Language: Jupyter Notebook - Size: 200 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

martn2023/training-regression-models

Introducing 4 regression models, and how to optimize via Gradient Descent

Language: Jupyter Notebook - Size: 1.24 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

dcarpintero/nn-image-classifier

Python from-scratch implementation of a Neural Network Classifier. Dive into the fundamentals of approximation, non-linearity, regularization, gradients, and backpropagation.

Language: Jupyter Notebook - Size: 629 KB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 4 - Forks: 0

muhzinkhan/Machine-Learning-Algorithms-from-Scratch

Machine Learning algorithm implementations from scratch.

Language: Jupyter Notebook - Size: 255 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

SeyedMuhammadHosseinMousavi/Complexity

Complexity

Language: Python - Size: 1.38 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

gvarun20/Machine-learning_Simple_projects

use the data set and run the ipynb file

Language: Jupyter Notebook - Size: 50.1 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 4 - Forks: 0

theo-liang/Python-Project-Analysis-for-ClimateWins

This project analyzes historical weather data to identify patterns and predict future weather conditions, focusing on extreme events and temperature trends across Europe.

Language: Jupyter Notebook - Size: 76.1 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Reckadon/ML-ImageReconstruction-RFF-MF

Repository for the assignment 2. ML 335, Team - KAR.ai. Has Gradient Descent with Momentum implementation, Image and Audio reconstruction using RFFs, and Image compression/reconstruction using Matrix factorisation

Language: Jupyter Notebook - Size: 97.5 MB - Last synced at: 3 days ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

Raihan4520/Neural-Network

This repository features a 3-layer neural network built from scratch in Python, alongside TensorFlow and PyTorch versions.

Language: Jupyter Notebook - Size: 919 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 3 - Forks: 1

ostad-ai/Optimization

Optimization includes a class of methods to find global or local optima for discrete or continuous objectives; from evolutionary-based algorithms to swarm-based ones.

Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

leogaudin/ft_linear_regression

42 • A guide for creating a program that predicts the price of a car by using a linear function train with a gradient descent algorithm.

Language: Python - Size: 55.7 KB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Winterwind/HousingPricesProject

A two-part project involving making predictions using various regressors and then implementing linear regression from scratch and predicting that way

Language: Jupyter Notebook - Size: 138 KB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

maettuu/24FS-Deep-Learning

Repository for the course Deep Learning Spring 2024

Language: Jupyter Notebook - Size: 1.51 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

SmitaSoniS/ML-Codebook

A personal repository for practicing and mastering machine learning algorithms in Python, from basic to advanced. Includes clean examples and scripts for regression, classification, clustering, and more. Built as a hands-on learning resource to deepen my understanding of ML syntax and techniques.

Size: 6.84 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

daugaard/linear-regression

Linear regression implemented in Ruby.

Language: Ruby - Size: 71.3 KB - Last synced at: 23 days ago - Pushed at: 5 months ago - Stars: 53 - Forks: 7

bp0609/Image-Reconstruction-using-Matrix-Factorization

Image reconstruction using matrix factorization involves decomposing an image matrix into two or more lower-dimensional matrices whose product approximates the original matrix. This technique is useful because it leverages the inherent structure and patterns within the image data, allowing for more efficient storage and noise reduction.

Language: Jupyter Notebook - Size: 113 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

PAminai/Numercal-Analysis

Programming different types of numerical methods using MATLAB. All codes have been developed from the scratch during the academic year 2016-2017 for Numerical Analysis course at Shiraz University.

Language: MATLAB - Size: 322 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

imdeep2905/Neural-Network-CPP

To understand neural networks thoroughly I implemented them from scratch in C++. This is the source code for the same.

Language: C++ - Size: 781 KB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 2

abisliouk/IE675b-machine-learning

This is a repository with the assignments of IE675b Machine Learning course at University of Mannheim.

Language: Jupyter Notebook - Size: 60.8 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0