Omar Teixeira González's starred repositories
tensorflow
An Open Source Machine Learning Framework for Everyone
AutomaticSleepStageClassifier
Sleep stage automatic classifier using CNNs and LSTMs to process frequency signals of brain activity recorded via ElectroEncephaloGram EEG. Undergraduate thesis
Automatic-Sleep-Stage-Classification-using-EEG-Data
Here we use EEG data to automatically classify sleep stages using neural networks built using Keras.
Sleep-Quality-Analysis
Sleep stage classification is one of the critical methodologies for the diagnosis of sleep-related diseases and complications. The conventional method of categorization is quite clumsy and timeconsuming. This project aims to devise a deep learning and machine learning model for automatic classification of sleep stage, hence, removing the barrier of conventional method and expert ubiquity. In this work, we have considered a database that carries 197-night sleep polysomnographic data. Moreover, we aimed to classify this data into stages W, N1, N2, N3 and N4 as mentioned in the AASM standard. In addition to that, we have selected the EEG FpzCz channel because of its better quality and used an epoch time of 30 seconds for signal processing. We have used four machine learning and deep learning methods, namely CNN-CNN, CNN-LSTM, Random Forest, and XGBoosting, with 82%, 87%, 51%, and 59%, respectively. This report has depicted a roadmap of the EEG-based sleep stage scoring method by implementing the state of art methods. In conclusion, using better signal processing techniques will increase the overall performance and accuracy of the model.
sleep-classification
Sleep stage classification using LSTM networks
SleepEEGNet
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach
tinysleepnet
TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo from The Faculty of ICT, Mahidol University and Imperial College London respectively
deepsleepnet
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
Sleep-stage-classification
Sleep stage classification based on Recurrent neural networks using wrist-worn device data
awesome-pipeline
A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin
Prost-Drink
Repositorio con todo el código y documentación sobre el juego de beber
python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
lomap_es3a
LoMap Software architecture group es3a course 2022_23 - GOMap!® application, which provides maps where the user can add markers and obtain more information about a specific location. Read our documentation at: https://arquisoft.github.io/lomap_es3a/
emoji-cheat-sheet
A markdown version emoji cheat sheet