2020076_final

ai-assistant-for-visually-impaired-people

arbazcodes

automata

bluetooth-car

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

cs423-assignment-4

data-structures-algorithms

data-structures-and-algorithms

dev-prac

devops-assignment-3

dsa-practice

full-stack

hangman-game

house-price-prediction-ml

lexical-analyzer_minilang-scanner

lms

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.

multithreading

portfolio

protien-processing

reactnodetesting

sicp-interpreter

spaceship-survivor-model

structure-and-interpretation-of-computer-programs

Codes for functional language: Scheme

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.

system-programming