Pinned Repositories
2020076_Final
AI-Assistant-For-Visually-Impaired-People
Brain-Computer-Interfacing
CEP-PCA-using-SVD
Clustering-Techniques
The provided Python script implements tasks related to data analysis, visualization and perform operations such as calculating correlation coefficients, discretizing matrices, permuting data, and sorting rows based on signatures. The code also includes functionality for visualizing correlation matrices and clusters.
Construction-Site-Safety-Object-Detection-YOLOv8
Multi-Class-Image-Classifier-CNN
This Python script demonstrates the implementation of a Convolutional Neural Network (CNN) for image classification using the CIFAR-10 dataset. It utilizes TensorFlow, along with data augmentation techniques, to train the model on the training dataset. The script includes visualization of accuracy and loss curves.
SICP-Interpreter
Super-Resolution-Image-Generation-with-Deep-Learning
Showcases image processing techniques using hyperspectral imaging. It includes the steps to import hyperspectral images, generate a low-resolution hyperspectral image, and a high-resolution RGB image. The script splits the images into training and testing sets, normalizes the data, and then proceeds to create a super-resolution model using a CNN.
Travelling-Salesman-Problem-Genetic-Algiorthm-with-Crossover-and-Mutation
Travelling Salesman Problem-Genetic Algiorthm with Crossover and Mutation
arbazcodes's Repositories
arbazcodes/AI-Assistant-For-Visually-Impaired-People
arbazcodes/Construction-Site-Safety-Object-Detection-YOLOv8
arbazcodes/Super-Resolution-Image-Generation-with-Deep-Learning
Showcases image processing techniques using hyperspectral imaging. It includes the steps to import hyperspectral images, generate a low-resolution hyperspectral image, and a high-resolution RGB image. The script splits the images into training and testing sets, normalizes the data, and then proceeds to create a super-resolution model using a CNN.
arbazcodes/2020076_Final
arbazcodes/Brain-Computer-Interfacing
arbazcodes/CEP-PCA-using-SVD
arbazcodes/Clustering-Techniques
The provided Python script implements tasks related to data analysis, visualization and perform operations such as calculating correlation coefficients, discretizing matrices, permuting data, and sorting rows based on signatures. The code also includes functionality for visualizing correlation matrices and clusters.
arbazcodes/Multi-Class-Image-Classifier-CNN
This Python script demonstrates the implementation of a Convolutional Neural Network (CNN) for image classification using the CIFAR-10 dataset. It utilizes TensorFlow, along with data augmentation techniques, to train the model on the training dataset. The script includes visualization of accuracy and loss curves.
arbazcodes/SICP-Interpreter
arbazcodes/Travelling-Salesman-Problem-Genetic-Algiorthm-with-Crossover-and-Mutation
Travelling Salesman Problem-Genetic Algiorthm with Crossover and Mutation
arbazcodes/arbazcodes
arbazcodes/Bluetooth-Car
arbazcodes/cs423-assignment-4
arbazcodes/Data-Structures-Algorithms
arbazcodes/dev-prac
arbazcodes/DevOps-Assignment-3
arbazcodes/DSA-Practice
arbazcodes/Hangman-Game
arbazcodes/House-Price-Prediction-ML
arbazcodes/Lexical-Analyzer_MiniLang-Scanner
arbazcodes/LMS
arbazcodes/MiniLang-Parser
arbazcodes/Multithreading
arbazcodes/Portfolio
arbazcodes/Protien-Processing
arbazcodes/ReactNodeTesting
arbazcodes/Spaceship-Survivor-Model
arbazcodes/Structure-and-Interpretation-of-Computer-Programs
Codes for functional language: Scheme
arbazcodes/System-Programming
arbazcodes/Titanic-Survivors-Model