wozu-dichter

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/1D_Resnet_CBAM_LSTM

wozu-dichter/APNEA_Project

wozu-dichter/attention_keras

Keras Layer implementation of Attention for Sequential models

wozu-dichter/AttnSleep

[IEEE TNSRE] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

wozu-dichter/audiocraft

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.

wozu-dichter/BSc-Thesis

BSc Thesis Code and Manuscript

wozu-dichter/CAM

Class Activation Mapping

wozu-dichter/Cross-Modal-Transformer

Official repository of cross-modal transformer for interpretable automatic sleep stage classification. https://arxiv.org/abs/2208.06991

wozu-dichter/deepschool.io

Deep Learning tutorials in jupyter notebooks.

wozu-dichter/E-NOSE-AFOA

wozu-dichter/EEG-and-Self-Assessment-Classification

wozu-dichter/few-shot-text-classification

Few-shot binary text classification with Induction Networks and Word2Vec weights initialization

wozu-dichter/FinRL

FinRL: Financial Reinforcement Learning. 🔥

wozu-dichter/Hands-On-Graph-Neural-Networks-Using-Python

Hands-On Graph Neural Networks Using Python, published by Packt

wozu-dichter/InceptionTime

InceptionTime: Finding AlexNet for Time Series Classification

wozu-dichter/latex_paper_writing_tips

Tips for Writing a Research Paper using LaTeX

wozu-dichter/llama

Inference code for LLaMA models

wozu-dichter/llm-course

Course with a roadmap and notebooks to get into Large Language Models (LLMs).

wozu-dichter/MW_EEG_CNN

Code for Jin, C. Y., Borst, J. P., & van Vugt, M. K. (2020). Decoding Study-Independent Mind-Wandering from EEG using Convolutional Neural Networks.

wozu-dichter/MyResearchWorksPublic

wozu-dichter/poetry_genre_classifier

Classification model for poetic genres and a recommendation system

wozu-dichter/SACD

A cross-modal distillation method based on infrared video and EEG signals

wozu-dichter/Score-CAM

wozu-dichter/Sleep-Stages-Classification-Papers

A list of papers for sleep stages classification using machine learning/deep learning.

wozu-dichter/text_classification

all kinds of text classification models and more with deep learning

wozu-dichter/Text_Classification-1

Text Classification Algorithms: A Survey

wozu-dichter/torcheeg

TorchEEG is a library built on PyTorch for EEG signal analysis.

wozu-dichter/TrailNapAlarm

PSU ECE Capstone Project 23, 2021/2022: Automated Sleep Monitor and Trail Nap Alarm

wozu-dichter/tsai

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

wozu-dichter/U-Time

U-Time: A Fully Convolutional Network for Time Series Segmentation