Python library to fetch image urls based on keywords and download from Bing.com.

• UpdatedJun 15, 2023
• Python

PyTorch implementation of "Dynamic Structure Pruning for Compressing CNNs" (AAAI 2023 Oral)

• UpdatedJan 15, 2024
• Python

CNN Image classification of trash of 6 categories in tensorflow and pytorch

• UpdatedDec 5, 2022
• Python

Image Classification on CIFAR-10 using Theano

• UpdatedMar 13, 2022
• Python

learning data science including languages Python and SQL, data visualisation and machine learning

• UpdatedJan 20, 2021
• Jupyter Notebook

Using CNN for classifying dogs and cats images

• UpdatedMar 5, 2020
• Jupyter Notebook

Diagnose - Skin cancer detection from your skin images.

• UpdatedJul 19, 2024
• Jupyter Notebook

Deep Learning - Portability and optimization of a neural network for rapid damage detection in earthquakes using OpenVINO toolkit

• UpdatedSep 3, 2020
• Jupyter Notebook

The purpose of this project was to simply test a CNN model on a competition FER2013 dataset.

• UpdatedApr 20, 2020
• Jupyter Notebook

White Blood Cell Classification is a deep learning project built with Python, TensorFlow, and Keras that classifies five types of WBCs from microscopic images using a CNN model. With advanced image preprocessing, data augmentation, and a robust architecture, it achieves up to 95% test accuracy.

• UpdatedOct 16, 2025
• Jupyter Notebook

The project includes a detailed explanation of the CNN and ICP algorithms, along with their implementation in Python using popular deep learning and computer vision libraries such as TensorFlow, Keras, and OpenCV. The dataset used for training and testing the models is the CIFAR-10 dataset, which consists of 60,000 32x32 color images in 10 classes.

• UpdatedApr 30, 2023
• Jupyter Notebook

Finetuned pretrained-CNN architectures on Kaggle's FGVC21 plant pathology dataset (Implemented in Keras)

• UpdatedDec 13, 2021
• Jupyter Notebook

This project consists of following steps: - dataset creation with web scraping (BeautifulSoup) - data pre-processing (DifPy, Rembg, Keras) - CNN deep learning model training (used MobileNet V2 model) and training (Tensorflow) - testing the model and analyzing the results.

• UpdatedMar 31, 2024
• Jupyter Notebook

A CNN model to classify Alzheimer based on MRI (accuracy~99.3%)

• UpdatedAug 2, 2025
• Jupyter Notebook

This project is an image classification project using a deep-learning based on Convolutional Neural Networks (CNNs) with Keras. The Dogs vs. Cats is a classic problem for anyone who wants to dive deeper into deep-learning.

• UpdatedJul 1, 2024
• Jupyter Notebook

Build end-to-end DL pipeline for computer vision (Image classification) for “Chest Disease Classification from Chest CT Scan Images” and deploy Flask web app to AWS EC2 with Docker and CI/CD tool: Jenkins

• UpdatedMay 22, 2024
• Jupyter Notebook

Explores the use of a simple CNN model for the detection of COVID-19 in X-ray images. Leveraging a dataset from Kaggle, the pipeline includes preprocessing, model architecture design, performance evaluation, and testing on new cases.

• UpdatedFeb 18, 2024
• Jupyter Notebook

Android app that identifies UT and UTD landmarks

• UpdatedSep 8, 2020
• Jupyter Notebook

Deep Learning Project

• UpdatedOct 15, 2025
• Jupyter Notebook

This project demonstrates how to build an image classification model using Convolutional Neural Networks (CNNs) to classify images into predefined categories. It covers data preprocessing, model building, training, and evaluation steps.

• UpdatedFeb 13, 2025
• Jupyter Notebook