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1. A classification problem under the umbrella of supervised learning to do emotional analysis2. Converting the resulting classifications into emojis which have corresponding emotions
DL model to predict recurrence in ovarian cancer
We will predict the number of stars associated with a given YELP written review
Our project is to generate new skin pigmentation data for darker skin tones by exploring the latent space in VAE.
using GCN build a deep learning model to predict miRNA associated diseases
quickdraw implmementation
No one knows sketching better than me!
DNA Sequence Classification using DL
You want to be a song writer but don't know how to start? We attempt to use machine learning to do the job, generating a song with lyrics from words of choice.
A machine translation problem, specifically politeness transfer, which entails transforming normal phrases into polite phrases
A semi-supervised 2-D convolutional neural network with capsules that classifies 15 categories of arrhythmia from ECG signals.
We intend to create a system for matching text with emotionally resonant music. To do this, we will create a shared emotional embedding space to "translate" emotions from a text context into music.
We're colorizing black and white images!
Implementing a deep learning model to classify food images.
Creating an algorithm that can remove blocking artifacts from compressed images
Building a Model to Classify Periodic Time-Series Data(And using it to generate some cute animations)
A deep learning model that predicts which tweets from Twitter are about real disasters and which ones aren’t.
Checkin #2 for our final project! This is NOT our final submission; I'm not sure why this is here. Our final submission is elsewhere in the hackathon :)
Neural Temporal Modeling for Opinion Prediction on Twitter
Deep learning for single-cell age prediction
Analyzing the effects of various types of regularization on explainability, as well as accuracy, via open-sourced models trained on CIFAR10.
By using various deep learning methods (word-2-vec and bag of word models), we can use Natural Language Processing (NLP) to analyze the overall sentiment in a movie review on IMDB.
An implementation of image generation from sketch constraint using contextual GAN
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