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Brown Deep Learning Day Fall 2021

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  • Participants (353)
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Connect with the participants – support your favorite projects by liking, sharing, and commenting on them.
Image Segmentation for Prostate MRI
Image Segmentation for Prostate MRI

We implemented 4 CNN-based image segmentation models to deal with prostate MRI

RuofanBie9729 Bie Ruya Kang
1 6
Alpha Trade
Alpha Trade

Stock Trading Bot with Deep Q-Network

Esther Kim Kathy Peng John Wu
6 17
Predicting College Football Wins
Predicting College Football Wins

Using statistics from past years to predict number of expected wins in upcoming season

Emma McFall nateykang Kang
0 16
Cartoonify an image
Cartoonify an image

In this project, we are cartoony an image and image to image translation using different algorithms. First, we convert an image (Image of my face) to a cartoon image using different algorithms.

Kiran Khanna Chaitanya Kapoor
2 2
Bot or Not ?
Bot or Not ?

Twitter bot classification using supervised learning and natural language processing.

Malique Bodie
3 5
Arogya
Arogya

It will allow people to check their health and help to keep the environment healthy

Kiran Khanna
3 4
KMuse
KMuse

Lyrical Analysis and Song Suggestion

Lucy Qu Daniela Kuwana de Haidar Jorge Thien Nguyen
0 10
Generation of Novel Recipes Using LSTMs
Generation of Novel Recipes Using LSTMs

Cooking is hard work. Creating new recipes is even harder. RNN LSTMs to the rescue?

Andrew Ding anthonypeng8 Peng isonlaxman Soni
5 45
Turbulence Modeling using Deep Learning
Turbulence Modeling using Deep Learning

PINNs can be used to solve ill-posed problems, where the parameters of turbulence models are learned via Neural Network whilst producing the solution of the partial differential equations.

Pavan Pranjivan Mehta
1 4
The Effect of Elon Musk’s Tweets on the Crypto Market
The Effect of Elon Musk’s Tweets on the Crypto Market

An examination how Elon Musk’s tweets affect the trading price of cryptocurrencies (bitcoin, ethereum, dogecoin)

Idilsu Guney dmadnani1
0 20
big dawgs
big dawgs

predicting nba spreads with deep learning

ssomasi Somasi Deniz Ozturk
3 6
Music Generation
Music Generation

We are working on a model to generate music.

Jordan Feldman Quinn Straus MadTrevally Mullen
0 12
Strikeout
Strikeout

Predicting baseball pitches from a video of the pitcher's windup

Nick Keirstead Zahid Hasan
2 10
NOTHING
NOTHING

NOTHING

Shixuan Li
4 3
Ensemble Model for VR Game Design
Ensemble Model for VR Game Design

We present the Gamifier ensemble program, combining 3 deep learning models to generate 3D meshes and color palettes of relevant objects given one word as the user input.

Eleanor  Ye mstephe7
2 2
Using GANs to Generate Realistic Art
Using GANs to Generate Realistic Art

We are using GANs to generate art. We will be attempting to create abstract art, as well as portrait and landscape art.

nhyland46 Hyland Kevin Ma ojohnso3
0 16
DEEP LEARNING FOR QUANTUM CHEMISTRY
DEEP LEARNING FOR QUANTUM CHEMISTRY

In this work, we compare the use of discrete filtered CNNS versus continuous filters, particularly for quantum chemistry problems.

Tilas Kabengele Xiaohang Jia
4 15
Implementation of CycleGAN on Images and Videos
Implementation of CycleGAN on Images and Videos

A model that changes the style of world you see!

Yiqin Yuan Jiaxin Liu
6 18
Sha'ireen
Sha'ireen

A natural language processing model that generates intelligible captions for images in the Arabic language

Kanza Azhar Hamzah Shah Khosrow Arian
0 6
Sign Language Translation
Sign Language Translation

Real-time sign language to text conversion. Team Members: Justin Rhee (jrhee8) , Matthew Shinkar (mshinkar), Samantha Hong (shong41)

Justin Rhee Samantha Hong Matthew Shinkar
10 20
DeepWalk By ShallowRun
DeepWalk By ShallowRun

Keep walking...

Hangyu Du
2 4
Style Transform Based on GAN
Style Transform Based on GAN

style transform using GAN

Yuyang Wang Zihan Miao Chi Zhang
1 4
Related Domain Experience Replay (ReDER)
Related Domain Experience Replay (ReDER)

Using Dueling Double DQN to train the model on multiple similar domains, and transferring experience we created a model that can be used to train on multiple games of similar genre.

Richard Tang Kenta Yoshii Akash Singirikonda Raymond Dai
5 11
Transformer Prior
Transformer Prior

Transformer with Deep image prior method to image reconstruction task without learning

Heejun Lee
0 1

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