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Generates album covers with GAN
The entire world is going through a hard time during this covid pandemic but the segment of society worst affected is the older generation.
We will being utilizing CNNs to perform image classification on CTA and DSA images (basically types of X-ray imaging) in order to predict the outcome of possible medical therapy on stroke patients.
A reimplementation of SpinalNet
Creating a neural network to classify the genre of audio files
Our CNN model classifies a given chest x-ray as normal lungs, or lungs with pneumonia. The difference between a normal scan and a pneumonia scan is extremely subtle.
Using NLP to predict evidence of cancer & cancer status from radiological medical reports. Our goal is to build a model capable of describing a patient’s disease progression and response to therapy.
We aim to use a CNN to fully enhance short exposure digital images in low light environments.
We would like to determine if a neural network can be trained to detect the underlying geometry of a random geometric graph (RGG). Can the model tell the difference between spherical and planar RGGs?
We are implementing the model from the paper “Inverse Cooking: Recipe Generation from Food Images”, which takes as input an image of food and generates a set of ingredients and cooking instructions.
Analysis on dehumanization in the language of New York Times articles
A webapp that utilizes machine learning in order to make our environment safer from wildfires
Cloud image synthesis with conditional generative adversarial networks.
CNN to denoise low light images
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