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CNN for music genre classification
We built a TensorFlow version of MATCHSUM, a PyTorch extractive summarization model ranked #1 globally for summarizing CNN/DM (Cable News Network/Daily Mail) news articles.
PINN project
In this project, we attempt to see whether segmentation of image backgrounds improves classification of dog images.
Removing barriers with scientific machine learning
IGNORE UNTIL I FIGURE OUT HOW TO DELETE
eye gaze prediction using deep learning
For our project, we want to classify soccer photos into predetermined categories
We plan to create a model using deep learning techniques to predict US unemployment rates based on "Nowcasting US GDP Using Tree-Based Ensemble Models and Dynamic Factors" (Soybilgen and Yazgan 2021)
Deep Learning Final Project
A deep-learning model that classifies books by genre
Given the data from a dynamical system, we want to predict the evolution of its trajectory.
Aligning all NeRFs to a single pose-invariant canonical frame
Build a seq-to-seq model to generate recipes from food videos.
Used Flask app to build a website to host several experiments that convert lab experiments to pictorial depictions of said experiments with voice-over
Reconstructing natural images from fMRI data.
The vast amount of online communication can cloud a reader’s judgment. Our project aims to utilize seq2seq models and attention mechanisms to summarize textual inputs abstractedly.
Ever been frustrated with drivers who roll through stop signs? Our deep learning-powered app can help monitor and report drivers who do this.
Given an essay, our model will rate it on a scale from 1 - 5 based on cohesion, syntax, vocabulary, phraseology, grammar, and conventions.
For our project we want to build a love-letter generator to revive modern romance. Users will input their recipient and we will generate a love letter (chunk of text) tailored to them.
A great video streaming experience.
GAN generated Jazz Music
Music generation with WaveNet
We will be reimplementing the paper that introduced GANs.
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