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Use reinforcement learning to train a visual model to move naturally like a human
Detecting whether a comment on social media is sarcastic is a difficult task. We were interested in using deep learning and neural networks to determine if a social media comment is sarcastic.
Implementing an existing paper that provides an architecture for LSTM based meta-learning.
Clustering of Martian surface image data from NASA's HiRISE.
Predicting the presence of cancer and cancer status through natural language processing
A deep learning model to classify the smell of a molecule.
We implement a paper that performs stock market prediction with three different neural networks using LSTM: single LSTM, stacked LSTM, and attention LSTM.
With the current pandemic hospital management is extremely important. We implement a model to help aid hospital management by attempting to predict in hopital mortality of a set of patients.
Using stock history and Twitter sentiment analysis to predict weekly changes in stock price.
Coronavirus Diagnosis Using Deep Neural Networks
Using CNNs to fit meshes to point clouds.
Merging Deep Neural Networks & Random Forests :)
Reinforcement learning neural network that plays Mario Kart 64.
Few shot learning for image classification
- This project aims at developing an end-to-end hierarchical attention based temporal convolutional network (HA-TCN) to classify stress levels
Can different types of arrhythmias be classified simply by investigating the spectrogram of the signal?
Creating new musical pieces using sequence based modeling!
Implementation of the ResNet for Image Classification
This is our Deep Learning Final project outline!
Predicting Yelp Restaurant Ratings with Photos!
Making a model that, given a song or recording, can isolate, extract, and output the vocals of the song with as little interference from background noise as possible!
A Re-Implementation of Visual Question Answering
Implementing this paper: https://arxiv.org/pdf/1911.12569.pdf
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