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 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.

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

Movie ratings prediction

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…

On-the-fly spectrogram generation

Public repository associated with: Assessing The Effect of Various Sampling Frequency and Double Soft F1-loss in Multi-Label Classification of 12-Lead ECGs

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?"

a CNN that used word embeddings from GloVe to classify toxic comments

This repository contains Convolutional Neural Networks implemented from scratch.

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.

[Re] Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL, N. Strodthoff, P. Wagner, T. Schaeffter, and W. Samek,

Anti-hydrogen detection using CNNs from ASACUSA experiment

Public repository associated with: "Using deep convolutional neural networks to predict patients age based on ECGs from an independent test cohort"

Set of 2D & 1D CNN models to classify images of handwritten numbers from the MNIST dataset using Keras.