Fine-tuning Resnet18 model to predict if the patient has Pneumonia (COVID19) with the help of x-ray
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Updated
Jan 20, 2022 - Jupyter Notebook
Fine-tuning Resnet18 model to predict if the patient has Pneumonia (COVID19) with the help of x-ray
Detection of COVID-19 Pneumonia from chest X-Ray images using ResNet-18.
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.
Segmentation using DroneDeploy Machine Learning Benchmark
AI Capstone Project Course using Pytorch
Project for fast.ai - Practical Deep Learning for Coders - Lesson 2.
A pre-trained image classifier to classify dog breeds. Udacity Nanodegree project-1.
Automatic Diagnosis of COVID-19 using CT Scan
Classification of images based on facial features using ResNet18 as base framework integrated with Non-local neural networks
Several deep learning methods has applied for example datasets
Using transfer learning to train a ResNet18 model to identify the age of a brain from its MRI scan.
ResNet Comparison for Garbage Image Classification with PyTorch - models trained on GPU, then pickled for analysis on CPU
Course Project - Advanced Topics in Machine Learning - Autumn Semester 2023 - Indian Institute of Technology Bombay
Fall 2021 Introduction to Deep Learning - Homework 2 Part 2 (face classification, face verification)
The aim of this project is to implement an image classifier based on convolu- tional neural networks. Starting by implementing a simple shallow network and then refining it until a pre-trained ResNet18 is implemented, showing at each step how the accuracy of the model improves. The provided dataset (from [Lazebnik et al., 2006]) contains 15 cate…
By comparing the performance of 24 custom trained models with various configurations, I aim to identify the most effective model architecture and configuration for accurate gel electrophoresis image classification.
Working with Chest X-Ray (CXR) images : Medical Imaging
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