Fine-tuning Resnet18 model to predict if the patient has Pneumonia (COVID19) with the help of x-ray

Detecting COVID-19 using Radiography (chest x-ray) Image dataset from Kaggle

Detection of COVID-19 Pneumonia from chest X-Ray images using ResNet-18.

Deep Learning model with OneDNN

Building a Garbage classifier that classifier trash into 6 categories: Glass, Metal, Cardboard, Paper, Plastic and Trash.

A classifier for 120 dogs classified at Stanford Dogs Dataset, using the Pytorch framework and using custom Resnet for neural network learning

Development an Deep Learning model to detect COVID-19 in chest X-ray scans.

Image Classification with PyTorch | 94%+ Accuracy

Bird Species Classification Using Transfer Learning

Detect distracted drivers using a trained CNN

AI Capstone Project Course using Pytorch

Classification of satellite images among Residential, Industrial and No Available Rooftop Area class using Deep Learning - LESO-PB Lab @ EPFL

Project for fast.ai - Practical Deep Learning for Coders - Lesson 2.

Yoga position: a web app powered by deep learning model that identify yoga position from a photo

Trends and Applications of Computer Vision - UniTN - Prof. Sebe - MSc AIS 2022

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

A pre-trained image classifier to classify dog breeds. Udacity Nanodegree project-1.

Automatic Diagnosis of COVID-19 using CT Scan

This project Deepfakes can distort our perception of the truth and we need to develop a strategy to improve their detection. Deep Fakes are increasingly detrimental to privacy, social security, and democracy. We plan to achieve better accuracy in predicting real and fake videos.. https://pypi.org/project/Deep-Fake-Detection/

Classification of images based on facial features using ResNet18 as base framework integrated with Non-local neural networks