Pneumo.ai is a Streamlit web app for detecting pneumonia from X-rays, leveraging CNN variants like AlexNet, VGG, and ResNet18, with ResNet18 leading with an accuracy of 0.89. It employs early stopping callbacks for efficient model training, visualizes training using TensorBoard, and optimizes inference time with pruning and quantization techniques.

This repository is dedicated to small projects and some theoretical material that I used to get into Computer Vision using TensorFlow in a practical and efficient way.

Tried several ML and DL models for 0-9 Digit Classification using MNIST Dataset

Simple implementation of the paper "ImageNet Classification with Deep Convolutional Neural Networks" using pytorch.

Deep Learning architectures implemented in PyTorch Lightning

Various codes and scripts used during AI research. Orginally developed in the Binary_label_predictions_with_CNNs repository

Various codes and scripts used during AI research, all neatly organised

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

Reimplementations of various computer vision papers in pytorch

Transforming agriculture with AI: Explore our GitHub for advanced plant disease detection. Utilizing top CNN models, we empower farmers with early diagnosis tools. Access notebooks, datasets, and a user-friendly web app. Join us in revolutionizing farming for a sustainable future

A deep learning model that leverages Transfer Learning approach to accurately detect Pneumonia with AlexNet

Classifying images of trash (glass, metal, paper, plastic) using neural networks. Term project of 'APS360 - Applied Fundamentals of Deep Learning' taken at the University of Toronto. Team members: Matthew Vernooy, Danny Kung, Tiffany Costas.

Nebula: Lightweight Neural Network Benchmarks

GreenGuard is a cutting-edge picture classification initiative that aims to transform agriculture by giving farmers an automated way to identify plant illnesses early on. In order to reduce crop losses and enhance farming methods, GreenGuard uses a convolutional neural network to detect and categorize sick plants.

PyTorch Implementation of AlexNet architecture on the CIFAR 10 dataset.

x ray lung images classification

This repository contains code for analyzing the CIFAR-10 dataset using pre-trained AlexNet and logistic regression classifiers.

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

BIM33203 Image Processing Semester 6 Group Project

This repo consists of different Deep Learning Models used for various ML tasks.