Learning and Building Convolutional Neural Networks using PyTorch

An PyTorch implementation AlexNet.Simple, easy to use and efficient

My PyTorch implementation of CNNs. All networks in this repository are using CIFAR-100 dataset for training.

Human Pose Estimation using Leeds Sports Poses Dataset

AlexNet for Image Classification

pytorch Implementation of deep learning models

A machine learning project for Mosaic Art reconstruction using a Genetic Algorithm approach. This approach is similar to solving a jigsaw puzzle.

This is my assignment of undergraduate education in China University of Petroleum (East China)

PyTorch Implementation of AlexNet

PyTorch implementation of deep CNNs

Implementation of AlexNet through a Transfer Learning Approach over CIFAR-10 Dataset using PyTorch from Scratch, presenting an accuracy of ~87%

This repository contains an implementation of the AlexNet convolutional neural network (CNN) architecture using the Pytorch framework. The model is trained on a dataset consisting of images of cats and dogs, with the objective of classifying images into these two categories.

Machine learning project for Computer science (University of Catania)