Arbaz Khan's repositories
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.
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.
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.
Travelling-Salesman-Problem-Genetic-Algiorthm-with-Crossover-and-Mutation
Travelling Salesman Problem-Genetic Algiorthm with Crossover and Mutation
Structure-and-Interpretation-of-Computer-Programs
Codes for functional language: Scheme