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Brown Deep Learning Day 2020

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  • Participants (353)
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Sample Submission
Sample Submission

This is a sample submission!

Kevin Du
0 0
The Sound of Music
The Sound of Music

Creating An Interpretable CNN Model for Audio

David Moon Clara Guo johnny-ren
3 16
Chat in the Hat
Chat in the Hat

A Neural Chatbot

Anya Li Kalissa Feinberg Miku Takabayashi
2 14
Of Mice and Men
Of Mice and Men

Analysis on dehumanization in the language of New York Times articles

Holly Zheng Becky Mathew ethanpan1 Andrew Knoblock
4 19
DIY SqueezeNet — Image Classifier in Constrained Environment
DIY SqueezeNet — Image Classifier in Constrained Environment

AlexNet performance, but on a microcontroller?!

Stephen Lee Eli Zucker Nicholas Lim Wai Ting So
4 6
BACHPROPAGATION
BACHPROPAGATION

Generating music using RNNs!

xinruviolas Li
0 0
TempleFlow
TempleFlow

TempleFlow is a project that uses deep learning to play the classic game Temple Run 2

Hunter Karas Arun Kavishwar
2 23
Lootbox
Lootbox

Automated package counting for shipping logistics

Eric Wang Jorge Isaac Chang Ortega Ruotao Zhang
0 5
Et tu, Daniel?
Et tu, Daniel?

Text style transfer from Shakespearean English to Modern English

Sohum Gupta Ryan Kim Jusung Lee Kushagra Agarwal
6 21
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
Salient Object Detection with U^2 Net
Salient Object Detection with U^2 Net

We reimplemented the CVPR 2020 paper “U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection” using Tensorflow in Python.

Jiaju Ma Shuyan Wang Carrie Zhuang
6 10
Agent of Capitalism
Agent of Capitalism

We will design an agent that operates on a simple 2D top-down dungeon map, collecting coins while avoiding or attacking a simple automated opponent.

Maxime Hendrikse Liu longqdo Do Daniya Seitova Andrew Cooke
6 27
MineSweeper
MineSweeper

A MineSweeper Genius.

Yuchen Zhou Wei Li
1 11
Crypto Predicto: Predicting Bitcoin Transactions using DL
Crypto Predicto: Predicting Bitcoin Transactions using DL

Reimplementation of a paper, using random walks and word2vec on graphs to predict transactions of cryptocurrency.

Raghav Pemmireddy Jacob Good Granthsterman MaximoMoyer
4 19
Bone Suppression Removal on X-Ray images and Classification
Bone Suppression Removal on X-Ray images and Classification

A full X-Ray classification pipeline which consists of removing bone shadows from the X-Rays followed by a classification problem on x-ray images of different diseases

Nasheath Ahmed Mohamad Abouelafia aaoun00 + 1
3 23
Seq2Seq Improvement Seqers
Seq2Seq Improvement Seqers

Improving RNN seq2seq model with attention mechanism and scratchpad mechanism

Brynn Chernosky srockhil jackwebster Webster
1 5
Detecting Early Onset of Depression from Social Media Text
Detecting Early Onset of Depression from Social Media Text

We are reimplementing a neural network architecture that can detect the early onset of depression through users’ social media text.

Kalvin Lam Sarah Branse TzuHwan Seet Andrew Liu
1 6
Ishara
Ishara

Arabic sign language translation model

Moustafa Makhlouf Fatimah AlShaikh Muhammad Haider Asif
5 18
LSTockMarket Predictions
LSTockMarket Predictions

See how well we can predict the opening price of stocks using LSTM cells in a RNN.

Armaan Dhillon Filip Kierzenka Dylan Brady
1 18
Stock Market Prediction with LSTMs
Stock Market Prediction with LSTMs

We implement a paper that performs stock market prediction with three different neural networks using LSTM: single LSTM, stacked LSTM, and attention LSTM.

Chun Park ubhetuwal Hakan Samli
5 23
JKJK
JKJK

A Re-Implementation of Visual Question Answering

Jacob Yu Linghai Liu Jayden Yi yangyuegly Yang
4 8
GPT-0.3
GPT-0.3

A language model based off of the GPT models (1,2, and 3)

johnfay11 Fay cavalos21 Avalos John Zhou
0 3
Effectiveness of Meta-Learning with BERT
Effectiveness of Meta-Learning with BERT

To examine the effectiveness of SOTA meta-learning algorithms on top of pre-trained language model (i.e. BERT) on natural language understanding tasks and further on multimodal tasks

Tian Yun sinanspd Pehlivanoglu gaurav-sharma-113 Sharma
3 3
Reinforcement Learning with Value Distributions
Reinforcement Learning with Value Distributions

Reinforcement Learning with Value Distributions

Eric Hsiung Hanyu Liu Shangqun Yu Bowen He
3 3

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