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Implement self-attention network to identify body parts from bone x-ray images.
A vector-based generation model that predicts the next possible keyframes for animation given an SVG input in real-time.
Super Resolution for Images and Videos using SRGAN
Deep learning based joke teller
Deep Learning for Weather Related PDEs
We aim to compare LSTMs, GRUs, Seq2Seq and Deep Operator Networks (DeepONet) by learning multi-scale bubble growth dynamics amidst pressure fluctuations.
Hit Song Prediction using Deep Learning
In our daily life, we must have encountered this situation that it is hard to find a specific photo in our album. With this model, we just need to give a description to locate the photo we want!
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we are trying to use deep learning to predict the closing price of the stock market for the upcoming days
Image Generation with text input - implementation of control GAN
The study of the usages of urban greeneries are helpful in understanding their mental and physical health benefits on the community. We predict the function of an urban greenery given images of it.
Identify sketches
Train a model that evaluates the sentiment of a tweet using sentiment analysis and sarcasm detection
Super Resolution of Digital Elevation Models of the Canadian Shields generated using CNNs.
This project investigates the deformation of 3D shapes by using a point cloud interpolation sequence, which is generated via a point cloud GAN.
A language model using RNN-LSTM architecture to detect grammatical errors in Chinese sentences. The model will be trained and tested on datasets from TOCFL and NHK, the Chinese language fluency tests.
Architecture and novel solution to attempt to solve the n-body problem via CNN and RNN prediction
American Sign LAnguage Network
Reimplement a reinforcement learning AI for card game
GAN inspired model to produce color corrected images to aid in object recognition for color-blind people.
We use autoencoders to encode and a neural network to classify genres of music, and then borrow ideas from Deep Dream to run the network backwards and alter the encodings to fit a specific genre.
A deep learning model to estimate dimension of objects in language
Are two texts from the same author? This network (hopefully) knows.
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