wozu-dichter
BEng in Hydrology and Water Resources & MSc in Psychology. Always looking for PhD opportunity in the interdisciplinary area between AI and neuroscience...
Pinned Repositories
1D_Resnet_CBAM_LSTM
A-Compact-and-Interpretable-Convolutional-Neural-Network-for-Single-Channel-EEG
In this project, we propose a CNN model to classify single-channel EEG for driver drowsiness detection. We use the Class Activation Map (CAM) method for visualization. Results show that the model not only has a high accuracy but also learns biologically explainable features, e.g., Alpha spindles and Theta burst, as evidence for the drowsy state.
A7_LacourseSpindleDetector
A7 Spindle Detector described by Lacourse et al. 2018
AI-Toolbox
Algorithm Engineer Toolbox, for the purpose of quickly iterating new ideas
ANLffr
A set of tools to analyze and interpret auditory steady-state responses, particularly the subcortical kind commonly known as frequency-following responses (FFRs).
ANT_project
antropy
AntroPy: entropy and complexity of (EEG) time-series in Python
APNEA_Project
EEG-SSVEP
Project with Tsinghua University Department of Biomedical Engineering
SSVEP-detection
CCA, CSP+SVM, MEC
wozu-dichter's Repositories
wozu-dichter/A-Compact-and-Interpretable-Convolutional-Neural-Network-for-Single-Channel-EEG
In this project, we propose a CNN model to classify single-channel EEG for driver drowsiness detection. We use the Class Activation Map (CAM) method for visualization. Results show that the model not only has a high accuracy but also learns biologically explainable features, e.g., Alpha spindles and Theta burst, as evidence for the drowsy state.
wozu-dichter/A7_LacourseSpindleDetector
A7 Spindle Detector described by Lacourse et al. 2018
wozu-dichter/ANLffr
A set of tools to analyze and interpret auditory steady-state responses, particularly the subcortical kind commonly known as frequency-following responses (FFRs).
wozu-dichter/article_classification
Application of Multiclassification and Clustering on articles
wozu-dichter/bciBasedWheelchair
Brain Control Interface based smart wheelchair. Actions include start, turn left, right, stop with your brain and eye blinks
wozu-dichter/BCIMusic
Neurotech
wozu-dichter/CyKit
Python 3x server to deliver neural EEG data to browser and generic clients via TCP stream.
wozu-dichter/DA2021
wozu-dichter/deep-learning-articles
deep learning related articles
wozu-dichter/Deep-Residual-Shrinkage-Networks
The deep residual shrinkage network is a variant of deep residual networks.
wozu-dichter/deepsleepnet-1
A PyTorch implementation of the the paper (DeepSleepNet: a Model for Automatic Sleep StageScoring based on Raw Single-Channel EEG)
wozu-dichter/Emotion-Recognition-from-brain-EEG-signals-
Emotion recognition can be achieved by obtaining signals from the brain by EEG . This test records the activity of the brain in form of waves. We have used DEAP dataset on which we are classifying the emotion as valance, likeness/dislike, arousal, dominance. We have used LSTM and CNN classifier which gives 88.60 % accuracy to predict the model successfully.
wozu-dichter/explorepy
Python API for Mentalab biosignal aquisition devices
wozu-dichter/FBCNet
FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface
wozu-dichter/free-python-games
Free Python Games
wozu-dichter/handwritingBCI
Code from the paper "High-Performance Brain-to-Text Communication via Handwriting"
wozu-dichter/IMABOT
a MI-BCI system application
wozu-dichter/Language-Detector
NLP Model for predicting 17 different languages
wozu-dichter/liblsl-Python
Python bindings (pylsl) for liblsl
wozu-dichter/motor-imagery
Record MI data, analyse the results, and find the best classifier!
wozu-dichter/new_deepsleepnet
copy
wozu-dichter/nfb-1
Build experiments in real-time EEG-MEG paradigm.
wozu-dichter/NOVA_TEST
wozu-dichter/pyRiemann
Python package for covariance matrices manipulation and Biosignal classification with application in Brain Computer interface
wozu-dichter/python-emotiv
A Python module to access Emotiv EPOC EEG headset on Linux.
wozu-dichter/riemannian-study
wozu-dichter/SiameseNet-Loss
Text Classification Using Siamese Neural Networks - Contrastive Loss, Triplet Loss. This architecture works well when the training data is less.
wozu-dichter/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
wozu-dichter/TSleep
Automated Sleep Stage Scoring using Deep Learing
wozu-dichter/wavelength