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CSCI 1470/2470 Deep Learning (Spring 2024)

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MaestroNet — MaestroNet

Automatic Musical Transcription Through Seq-to-seq Modelling

EnsembleEmbedders — EnsembleEmbedders

Learning latent representations of music with autoencoders

Inverse Recipe Generation from Food Images — Inverse Recipe Generation from Food Images

[FILL IN LATER]

Evaluation of Convolution LSTM for Sentiment Analysis — Evaluation of Convolution LSTM for Sentiment Analysis

A reimplementation of the model detailed in the paper "Co-LSTM: Convolutional LSTM model for sentiment analysis in social big data" (Behera et al., 2020).

404 Not Found — 404 Not Found

Re-implement the Image Retrieval Model DELG

Identifying Transcription Factor Cooperation with Attention — Identifying Transcription Factor Cooperation with Attention

Reimplementation of a recent model called SATORI, which utilizes 1D convolution and self-attention to classify enhancers. Using the self-attention weights, we examine transcription factor cooperation.

Extracting Emotion from Speech — Extracting Emotion from Speech

SPEECH AND EMOTIONS FROM AN AI

Learning Quantum Spin Liquids with Neural Quantum States — Learning Quantum Spin Liquids with Neural Quantum States

We investigate whether neural quantum states are capable of learning quantum spin liquid phases in one dimension.

Team TweetGCN — Team TweetGCN

Who's to say

Turning fridge ingredients into recipes — Turning fridge ingredients into recipes

Fighting

ConvMusic — ConvMusic

From Beat to Beatmap—Automating osu! Map Creation with AI

Revive Ancient Chinese via Machine Translation — Revive Ancient Chinese via Machine Translation

The project aims to create a robust solution capable of translating complex ancient Chinese scripts into modern languages.

RoboChaser — RoboChaser

Detecting a unique object using Computer Vision and a CNN trained to take in an image in real-time with an Intel RealSense camera to output commands to a ground iRobot to follow the unique object.

Alzheimer's stage classification (Dr. Octupus Team) — Alzheimer's stage classification (Dr. Octupus Team)

Predicting Alzheimer's stage using image classification for potential use by doctors.

We Hate Cancer — We Hate Cancer

Identifying cancer cells from CT scans using deep learning

Metanets: artificial nets to understand biological nets — Metanets: artificial nets to understand biological nets

A fundamental problem in neuroscience is describing co-active brain regions during cognition. This project seeks to identify functional brain networks using state-of-the-art deep learning approaches.

Lanternfish — Lanternfish

AI Audio Stem-Splitter using the Discrete Wavelet Transform

Adversarial Learning Is All Semantic Segmentation Needs — Adversarial Learning Is All Semantic Segmentation Needs

We aim to use semi-supervised adversarial learning to perform semantic segmentation by combining adversarial loss with standard cross-entropy loss, and improve performance of semantic segmentation

ResiGateNet for Suicide Detection — ResiGateNet for Suicide Detection

We aim to build a Multi-Gated LeakyReLU CNN model with residual connections that can detect depression and suicidal ideation from Reddit posts.

MusicGenreClassification — MusicGenreClassification

cs1470

Deep learning in virtual currencies prediction — Deep learning in virtual currencies prediction

Using deep learning to predict the future price trend of virtual currencies.

DL Greens Functions — DL Greens Functions

I plan to use CNN's to speed up chemistry calculations.

Code Guardian — Code Guardian

Ensuring the Human Touch in Coding

Dynamic Environment Generation in Classic Video Games — Dynamic Environment Generation in Classic Video Games

Our project aims to transform classic video game experiences by introducing dynamically generated environments in real-time, focusing on the iconic Super Mario Bros.

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