An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: vgg19-model

Lingo0017/pneumoniaDetectionWebsite

A web-based platform that detects pneumonia from chest X-rays using AI. It offers accurate analysis, educational resources, and chatbot assistance.

Size: 28.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

dhanushrichandrasekar/pneumoniaDetectionWebsite

A web-based platform that detects pneumonia from chest X-rays using AI. It offers accurate analysis, educational resources, and chatbot assistance.

Size: 28.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

KatavinaNguyen/NeuralStyleTransfer-ML

A selected group project for our Machine Learning course, where we implement Neural Style Transfer (NST) using deep learning and convolutional neural networks (CNNs) to generate AI-powered artistic transformation.

Language: Python - Size: 1.21 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

jagadeshchilla/oral_cancer_detection

oral_cancer_detection

Language: Jupyter Notebook - Size: 203 MB - Last synced at: 21 days ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

NajdBinrabah/Deep-Learning-with-PyTorch-and-Captum

This project classifies smoking images using VGG19 with data augmentation, and Captum for model explainability, identifying key features per prediction.

Language: Jupyter Notebook - Size: 2.08 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Saeedanbarimoghadam/-Detection-of-COVID-19-Using-Deep-Learning-Algorithms

Language: Jupyter Notebook - Size: 806 KB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

PawarMukesh/Brain-Tumor-Detection

BASED ON BRAIN MRI IMAGES DATASET WE NEED CLASSIFY THE BRAIN TUMOUR

Language: Jupyter Notebook - Size: 1.94 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 8 - Forks: 1

wlopezm-unal/CNN_tensorFlow

Notebook on the use of the VGG19 model of a Convolutional Neural Network (CNN) for image classification of natural scenes. The framework is TensorFlow

Language: Jupyter Notebook - Size: 3.95 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

SidraAnsari/Fyp-Code

Breast Cancer H&E classification of Images and Image Generation

Language: Jupyter Notebook - Size: 152 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

tararelan/ELEC4840-Final-Project-2024

Language: Jupyter Notebook - Size: 628 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Ashutosh27ind/styleTransferOnImageUsingCNN

We use a pre-trained model, VGGNet in our case for the python implementation of style transfer.

Language: Jupyter Notebook - Size: 8.21 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

29vishakha/PROJECT--Plant-Leaf-Disease-Prediction

PLANT LEAF DISEASE PREDICTION

Size: 12.7 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

andrianfranco/CamaraTrampa

Trap Camera with positioning system and classification of images by animal species

Language: Python - Size: 167 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

saikaryekar/Forest-Fire-Classification-VGG19

This project aims to detect and classify forest fires using deep learning techniques, specifically the VGG-19 convolutional neural network model. The model is trained to analyze images and accurately predict whether they contain signs of a forest fire or not.

Language: Jupyter Notebook - Size: 61.5 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

akash6murali/railtrack-feature-extractor

Feature Extraction on the Rail Lines Using Semantic Segmentation and Self-supervised Learning.

Language: Python - Size: 49.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

somaiaahmed/Eye-diseases-classification

The Eye Disease Classification project aims to develop a robust model for the automated classification of retinal images . Leveraging a diverse dataset sourced from reputable repositories, the project employs a Convolutional Neural Network (CNN) architecture, with a focus on utilizing the pre-trained VGG19 model.

Language: Jupyter Notebook - Size: 39.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 1

tilanprabudda/Automated-Image-Classification-using-VGG19-in-Keras

Embark on a machine learning journey with this Python project focusing on automated image classification. The implementation utilizes the VGG19 architecture in Keras, enhancing the model's ability to classify images across 38 different classes. Augmentation techniques like zooming, shearing, and horizontal flipping are employed for a robust dataset

Language: Python - Size: 2.93 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

iremakalp/Plant_Disease_Detection

This repo contains the python codes of my final thesis "Analysis of leaf species and detection of diseases using image processing and machine learning methods".

Language: Jupyter Notebook - Size: 652 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 17 - Forks: 7

Jaiswal0786/Image-Stylization

The GitHub repo on "Image Stylization using VGG19" has an implementation of neural style transfer using VGG19, allowing users to apply the style of one image to the content of another. It includes pre-trained models for easy use, enabling users to experiment with different styles and content images for creative and visually appealing results.

Language: Python - Size: 7.11 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

AbhiSaste5402/MSc-Project-Part1-Pneumonia-detection-using-tansfer-learning-on-ResNet50-VGG16-and-VGG19

The dataset having Pneumonia and Normal chest X-Ray images were trained on different numbers of epochs to check the variability in the training and validation accuracies. The ResNet50 model with the highest and closest Training and Validation accuracies was then used for the prediction.

Language: Jupyter Notebook - Size: 25.4 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

mohadeseh-ghafoori/Neural-Style-Transfer

Language: Jupyter Notebook - Size: 654 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Madhushree2000/Malaria-Detection

To improve the accuracy and speed of malaria diagnosis, the project aims to distinguish Malaria infected human blood cells from the normal ones.

Language: Jupyter Notebook - Size: 6.59 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

jungsoh/nst-merging-content-and-style

Neural style transfer to merge content and style images using pre-trained VGG19 model

Language: Jupyter Notebook - Size: 84.9 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Pradnya1208/Classification-of-flowers-using-VGG19

The goal of this project is to study and implement VGG19 based classification model for Flowers' dataset.

Language: Jupyter Notebook - Size: 10.6 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Related Keywords
vgg19-model 24 tensorflow 10 deep-learning 7 cnn 7 python 6 cnn-classification 5 machine-learning 5 vgg16-model 5 keras 3 deep-neural-networks 3 pytorch 3 image-processing 3 transfer-learning 3 computer-vision 3 vgg19 2 alexnet-model 2 opencv-python 2 keras-tensorflow 2 cnn-model 2 jupyter-notebook 2 neural-style-transfer 2 resnet-50 2 webdevelopment 2 ui-design 2 sqlalchemy 2 densenet121 2 pneumonia-detection 2 javascript 2 backenddevelopment 2 front-end-development 2 flask 2 unet 1 segmentation 1 autonomous-driving 1 classification 1 vgg16 1 thread 1 raspberrypi 1 raspberry 1 python3 1 sgd-optimizer 1 picamera 1 scipy 1 deeplearning 1 style-transfer 1 content-image 1 malaria-detection 1 transpose 1 numpy 1 convolutional-neural-network 1 matplotlib 1 gram-matrix 1 adam-optimizer 1 datascience-machinelearning 1 generated-image 1 flask-api 1 cnn-keras 1 resnet50-model 1 plant-disease-detection 1 inceptionv3-model 1 style-image 1 cnn-architectures 1 flowers-classification 1 html-css-javascript 1 flutter-apps 1 eye-diseases-classification 1 isic-2019 1 primary-attributions 1 occlusion 1 layer-attributions 1 integrated-gradients 1 image-classification 1 grad-cam 1 data-science 1 data-augmentation 1 captum 1 binary-classification 1 streamlit 1 rsnet50 1 neural-network 1 kubernetes 1 graphviz 1 gdown 1 efficientnetb2 1 pytorch-cnn 1 nst 1 ux-design 1 isic-2018 1 isic-2017 1 isic-2016 1 ensemble-learning 1 domain-generalization 1 contrastive-learning 1 binary-cross-entropy-loss 1 vision-transformer 1 pyramidpix2pix 1 mobilenetv2 1 efficientnet 1 cyclegan-pytorch 1 breast-cancer-wisconsin 1