VGG-19 deep learning model trained using ISCX 2012 IDS Dataset
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Updated
Jan 5, 2019 - Jupyter Notebook
VGG-19 deep learning model trained using ISCX 2012 IDS Dataset
Fully automated end-to-end framework to extract data from bar plots and other figures in scientific research papers using modules such as OpenCV, AWS-Rekognition.
Art Generation with Neural Style Transfer in 200 lines of code
Pre-trained VGG-Net Model for image classification using tensorflow
COVID-19 Detection From X-ray Images Using Deep Learning
Neural Style Transfer Algorithm
VGG19 feature extractor using PyTorch framework
Detected the crop diseases and differentiated between various crop diseases for a particular plant. Worked with appropriate neural network image classification algorithms like CNN, Inception-V3, VGG-16. and VGG-19
A computer vision program which uses a convolutional neural network to find and enhance patterns in images, thus creating a dream-like hallucinogenic appearance in the deliberately over-processed images.
Neural Style Transfer is one of the latest and most fascinating Deep Learning based application, in which we transfer style of one image to the content of another image using deep learning based on VGG-19 architecture. The result is a new image that combines the content of one image with the style of another.
Machine Learning applied to image recognition of snakes in Texas, extending the pre-trained VGG-19 model.
This is the repository for the course Computational Imaging project with the subject: Combination of Convolutional Neural Network and Markov Random Field for image synthesis.
A datathon to build a model to scan the image of an eye of a patient and find if the gender of the patient is male or female.
Transfer Learning- VGG19 vs ResNet50 on Celebrity Faces Data
Transfer style of an image to another using Convolutional Neural Networks.
Implementation of Image Style Transfer using PyTorch
Deep Learning Neural Style Transfer TensorFlow Assignment
The repo contains an implementation of a diagnostic tool used to classify chest related x -ray images of diseases such as Tuberculosis and Pneumonia. To develop the tool, VGG-19 pretrained model from imagenet was used.
Introduce and implement the Neural Style
Links to my works, where a variety of generative models are implemented using TensorFlow and PyTorch. Among the implemented models are Autoencoder, VAE, GAN, Pix2Pix, among others.
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