Model for translating speech to text. This is similar to using amazon alexa amongst many other products
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Updated
Jan 10, 2021 - Jupyter Notebook
Model for translating speech to text. This is similar to using amazon alexa amongst many other products
DeepFake ECG generator based on 1D Convoloutional Neural Networks
This work is the preliminary experiments leading to the publication: Towards Invariant Soft Biometrics from Electrocardiograms
IDH and TERTp mutation classification in gliomas using 1D-CNN with MRS data.
1-dimensional convolution implementation using C++ and CUDA
Speech Emotion Recognition using 1D and 2D Convolutional Neural Networks
Complete project of predicting the weather condition using Deep Learning
This repository is associated with Multi-Label ECG Classification Using Convolutional Neural Networks in a Classifier Chain
Bengali Newses are classified in six catagories. This is done by first extracting the semantics of Bengali words using word2vec. Then using those semantics, all the news are classified. Bengali NLP resources are not very rich compared to other languages. This is a complete project that includes Bengali word embedding, data cleaning using word st…
This project implements 6 different privacy-preserving collaborative learning methods for training multi-institutional ECG classification models.
1-D convolution implementation using Python and CUDA
1DConvNet applied to room occupancy detection based on data from several environment sensors. Data courtesy of the UCI Machine Learning Repository.
This repository contains Convolutional Neural Networks implemented from scratch.
A repository related to a master thesis in electronics, informatics and technology. Title: "Comparing Cardiological and Algorithm-Based ECG Interpretation in Athletes: Can Artificial Intelligence Improve the Algorithms?"
Source code of the paper accepted at EPIA 2024, the 23rd International Conference on Artificial Intelligence.
Public repository associated with: "Using deep convolutional neural networks to predict patients age based on ECGs from an independent test cohort"
NLP-FinHeadlines-MoodTracker is a NLP project utilising sentiment analysis on financial news headlines. It employs a combination of CNN and LSTM layers to predict sentiment (positive, negative, neutral). The model incorporates an embedding layer, 1D convolution, max pooling, bidirectional LSTM, dropout, and dense layer for sentiment classification.
Public repository associated with: "MemoryInception: Predicting Neurological Recovery from EEG Using Recurrent Inceptions"
[Re] Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL, N. Strodthoff, P. Wagner, T. Schaeffter, and W. Samek,
This is the repo that will be used to store the code used for the Intel / IBACs AI technical workshop hosted at the University of Connecticut.
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