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Predicting Seismic Activity using RNNs and Ground Acceleration Data Github: https://github.com/benpomeranz/DL-Final-BP-SW-AP-BG/tree/main
Cracking Arbitrary Substitution Ciphers with Statistics-Informed Seq2Seq Models
We implement a pipeline to measure the Ejection fraction from echocardiogram (ultrasound) images by automating the segmentation of the left ventricle.
An implementation of a paper that outlines the creation of a model for detecting AI generated images
Attention-Based Deep Learning Model on Single-Cell RNA-seq Data for Disease Target Prediction
Predict BTC price movement with time series and sentiment analysis using a transformer classification model
We will re-implement a DNA sequencing classification research paper using CNNs.
Scrabble Learning Model: Transforming live board analysis with advanced image recognition technology
Attention-based CNN Model to Classify Eye Movements for Eye-Based Communication with Total Paralysis Patients
art transfer
We will be using the several RR Interval databases from physionet to train a model that can identify Congestive Heart Failure patients based on EKG data.
Using sampling methods to improve accuracy of abdominal trauma detection
Empowering safer online spaces: Innovating hate speech detection with deep learning.
Learn from the Author from Books
We want to use a novel machine learning architecture called Generative Flow Networks, proposed by Yoshua Bengio, to accelerate stochastic simulation methods in quantum chemistry.
Classifying Chinese oracle bones into modern Chinese
3D fusion
Bavarder is an educational French chatbot that engages students in conversation using elementary French in order to actively practice speaking the language.
Converting any content image into the style of the animation from the movie Spiderman: Across the Spider-Verse.
We're trying to make models recognize emotions better.
Using RNNs! And CNNs maybe
AI that can take in an audio sequence and generate an output like "Aggressive guitar riff" based on it
yay
Sample-Efficient play of Atari Games with Multi-Modal input
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