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Generate classic music piece with Deep Learning.
We will see how training models with data created by generative adversarial networks in addition to human labeled training data will affect classifier performance.
Bitcoin is known to be highly correlated to the technology stocks in S&P 500 Index. So, this project will attempt to explore the impact that S&P Information Technology Index has on Bitcoin.
What will Brown look like in the far future if climate change gets the better of us? This project aims to visualize by developing a GAN for flooded street images.
Recent developments in large language models are exciting, and we want to try them out! This project will build a model that answers questions based on a passage, a common & important task for humans.
Bone Marrow Pathology Detection
What elements could lead us to click something? We use Heterogeneous GraphSAGE (HinSAGE) based GNN algorithm to build a Recommendation System for reddit communities.
We are attempting to implement an existing method of orthogonality regularization with the ResNet model on CIFAR10 and MNIST classification tasks.
From Modernist interpretations to even heralded classics of the Renaissance, art genres have always been difficult to distinguish. By utilizing deep learning technologies, we can accomplish just this!
...
We aim to perform sentiment analysis on the tweets posted on Twitter, by utilizing Twitter API and Artificial Neural Networks, in order to understand attitude toward certain topics.
The task is to create an ensemble of Deep Neural Networks that is more resistant to adversarial attacks than a single network.
4 Guys 1 Model
A recommender using Deep Learning for song suggestions
Use various data inputs (video, audio, text, statement) at FOMC press conferences to analyze the impacts of Federal Reserve communications on economic stability and interest rate expectations.
We are attempting to create a Physics Informed Neural Network (PINN), a neural network that is bound by physical laws, that will allow us to solve differential equations found in physics.
Building a model that generates poems based on Edgar Allan Poe's vocabulary and writing style from scratch.
Lie detection is a common task. Our multimodal system explores a solution that can be applied retroactively without potentially biased or errored human administration.
Final Reflection: https://docs.google.com/document/d/1ieLNQkuEPY439PSgkNoXuzGcnlSpy5p2lmZJjCOwxLA/edit?usp=sharing
Visualize contexts
This project aims to predict the velocity profile of the subsurface from seismic data using a neural network operator.
Identify Plants
We classify galaxy images from the Galaxy10: DECaLS data set according to 10 classes based on morphology using a convolutional neural network.
We will be implementing the paper “Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view images” by Xie et al.
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