Image Classification for a City Dog Show Project Goal Improving your programming skills using Python. In this project, I use a created image classifier to identify dog breeds. It is for one of the submission for the udacity nanodegree program

🎨 Automatic Image Colorization using TensorFlow based on Residual Encoder Network

CNN distinguishing between men and women by photo

This is the First Project part of the AI-programming with Python Nanodegree by Udacity.

fast neural style transfer-based personalized merchandise platform.

The goal of this project is to produce artistic images by merging the content from one image with the style of another. Using a pretrained VGG19 model, it minimizes both content and style loss achieving visually compelling results.

PyTorch implementation for the most used CNN architecture

Feature extraction using Keras with the VGG, Inception and ResNet architectures

Convert COCO dataset to VOC format

This repo implements a VGG model with SPP layer to enable the model to receive images with different shapes - gray images with the same shape, gray images with different shapes, bgr images with the same shape, bgr images with different shapes.

Pytorch implementations of each of the models described in the paper "Very Deep Convolutional Networks for Large-Scale Image Recognition" by Karen Simonyan, Andrew Zisserman

Binary classification of COVID-19 and non-COVID-19 chest X-rays

Coding Neural Network architectures using PyTorch

Funciones utilles para PyTorch.

Image classification using deep learning models with activation map visualisation and TensorRT support

Hyperparameter Optimization on VGG Networks

A Benchmark for Activation Function Exploration for Neural Architecture Search (NAS)

AI Programming with Python - Project 1

This is a midterm assignment for the Introduction to Artificial Intelligence course at YNU.