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Brown Deep Learning Day 2020

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  • Overview
  • Participants (352)
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Connect with the participants – support your favorite projects by liking, sharing, and commenting on them.
Low Light Image Enhancement
Low Light Image Enhancement

CNN to denoise low light images

Truong Cai
0 0
Get Your Head in the Clouds
Get Your Head in the Clouds

Cloud image synthesis with conditional generative adversarial networks.

Ezra Marks Aidan Cassel-Mace
1 7
How to Write SciFi 101
How to Write SciFi 101

Writing Science Fiction Short Stories with Natural Language Generation

David Grinstead swerthei34 Isatou Saho
0 1
BACHPROPAGATION
BACHPROPAGATION

Generating music using RNNs!

xinruviolas Li
0 0
Network Geometry
Network Geometry

We would like to determine if a neural network can be trained to detect the underlying geometry of a random geometric graph (RGG). Can the model tell the difference between spherical and planar RGGs?

Miles Miller-Dickson Xiaoyu Yihao Zhou Yihao ZHou + 1
2 9
Extinguish
Extinguish

A webapp that utilizes machine learning in order to make our environment safer from wildfires

Neeral Bhalgat
11 2
scHVAE
scHVAE

-

Pinar Demetci
0 0
Liszt Comprehension
Liszt Comprehension

Generating classical piano music using Attention. Let's bring Bach to the Future!

Herbert Traub Dhruv Bhatia Noah Medina Aryan Srivastava
8 25
Check Point 2
Check Point 2

see proposal

Zhouqi Gong
0 0
Of Mice and Men, Deliverable 2
Of Mice and Men, Deliverable 2

Analysis on dehumanization in the language of New York Times articles

Holly Zheng
0 0
Nishant-Luca-Thomas
Nishant-Luca-Thomas

We are implementing the model from the paper “Inverse Cooking: Recipe Generation from Food Images”, which takes as input an image of food and generates a set of ingredients and cooking instructions.

Nishant Govind
4 13
Low Light Image Enhancement
Low Light Image Enhancement

We aim to use a CNN to fully enhance short exposure digital images in low light environments.

Jeremy Lutz Truong Cai J. Alex Mina
2 9
Using MSRN to extract Oncological Outcomes from Medical Data
Using MSRN to extract Oncological Outcomes from Medical Data

Using NLP to predict evidence of cancer & cancer status from radiological medical reports. Our goal is to build a model capable of describing a patient’s disease progression and response to therapy.

Singh Saluja Alexandra Rodriguez Vedraman Narayan Malcolm Meyerson + 1
5 12
X-Ray Classification Convolutional Neural Network
X-Ray Classification Convolutional Neural Network

Our CNN model classifies a given chest x-ray as normal lungs, or lungs with pneumonia. The difference between a normal scan and a pneumonia scan is extremely subtle.

Jack Murphy Tucker Weed
1 10
Music Genre Classification
Music Genre Classification

Creating a neural network to classify the genre of audio files

Jordan Idehen
2 12
Network Must Have Spine
Network Must Have Spine

A reimplementation of SpinalNet

Changhao Wu Xiaoyan Zhao Zezhi Wang
3 6
Predicting Functional Outcomes of Mechanical Thrombectomy
Predicting Functional Outcomes of Mechanical Thrombectomy

We will being utilizing CNNs to perform image classification on CTA and DSA images (basically types of X-ray imaging) in order to predict the outcome of possible medical therapy on stroke patients.

Chris Nivera GarrettWarren Warren Pete Harinsuit
2 22
Groc4all#v1
Groc4all#v1

The entire world is going through a hard time during this covid pandemic but the segment of society worst affected is the older generation.

Jayit Saha Ishita Dasgupta
25 1
Deep Double Q-Learning
Deep Double Q-Learning

Re-implementing https://arxiv.org/abs/1509.06461

Evan Dong Hwai-Liang Tung
0 5
Album Generator
Album Generator

Generates album covers with GAN

Demetri Tsatsaros Benjamin Smith Daniel Flores
3 18
Credit Card Fraud
Credit Card Fraud

We're making a neural network with LSTM architecture to credit card fraud, trained on a dataset of individual transactions.

Ryan Simpson + 1
2 16
Blueno Mars
Blueno Mars

Lyrics generation

William Buerger Star Su Cecilia Vogler
4 40
DeepTrex
DeepTrex

A four-player card game with sub-games, strategy, chance and imperfect information.

Sam Wilkins Mohammad Amoush Ary-d
0 4
NBA Player Facial Recognition and Authentication
NBA Player Facial Recognition and Authentication

Developing a Convolutional Neural Network for facial recognition, using face images of active players from the 2019-2020 NBA season.

Alan Tang taegonkim98
0 13

1 – 24 of 113

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