Car Model Recognition project

Detecting Diabetic Retinopathy using Deep learning algorithm - Convolution neural network (Resnet-152) using PyTorch + GUI + SMS notification

This is an implementation of ResNet-50/101/152.

This is an implementation of the paper "Show and Tell: A Neural Image Caption Generator".

Building ResNet152 Model for Image Classification with Small Dataset (95% accuracy) | Tensorflow 2.0

Repository containing scripts to train and test a neural network whose goal is to detect presence of COVID-19

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

This repo includes classifier trained to distinct 7 type of skin lesions

Simple implementation of search for visually similar images using deep learning and vector search. It's based on pretrained ImageNet weights so it doesnt require any additional training

Deep Neural network using CNN pre-trained model to visually diagnose between 3 types of skin lesions

In the realm of EKG/ECG analysis, deep learning models have made significant strides. However, the pursuit of efficiency and accuracy persists. The proposed Mamba Biometric EKG Analysis Technology (MambaBEAT) project aims to utilize the Mamba model, a promising sequence modeling architecture, to further advance EKG analysis.

This repository is used to create Machine Learning models. Building three kinds of models that include covid detection, fruit and vegetable nutrition content, and general disease detection.

Pretrained on ImageNet ResNet-152 model in Keras

Resnet-18、Resnet-34 and Resnet-50 etc. caffe train prototxt files.

✨ Font recognition using deep neural networks. 💥 This repository includes an implementation of Article "DeepFont: Identify Your Font from An Image" 🔥 for font recognition and two transfer-learning models. ⚡

A dog breed classifier made using Convolutional Neural Networks and Transfer Learning, as a part of the Udacity's Machine Learning Engineer Nanodegree.

Code repository for training multi-label classification models on the CheXpert Chest X-ray dataset.

Developed a and Cover Classification system using Satellite Image Processing with the help of Remote Sensing images. The system can classify between Forest land, Agricultural of Paddy fields nd Urban areas from a given Dataset. All the step by step procedure has been done and executed in the Jupyter notebook. The system can also clasify the Land…