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.

PyTorch implementation of Deep-Learning Architectures

Human Pose Estimation using Leeds Sports Poses Dataset

Weakly Object Localization on brain dMRI using CAM

AlexNet for Image Classification

pytorch Implementation of deep learning models

Implementation of Deep Neural Networks to solve Medical Image Classification using Chest XRay Images

Pytorch implementation of Classification of Remote Sensing images

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)

To automate the process of labelling the clothing images as Ethnic/Western and Male/Female which were manually entered while cataloging.

PyTorch Implementation of AlexNet

Given an image of a dog, the algorithm will identify an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed.

PyTorch implementation of deep CNNs

Breast cancer detection on BreakHis dataset

Hello this repo contains some ML models

Academic Project for Pattern Recognition and Neural Networks Course