Popular GitHub Repositories for Sleep Staging

PostgreSQL database anonymization and synthetic data generation tool

[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

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

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

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

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

[IEEE JBHI] "MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG"

[TNSRE 2023] Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation

Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatics)

Open source Python program for automating gain staging. part 1 of a series for automating audio processing tasks, end goal is to create a full set of tools for an AI to use for automating Audio processing for Music, Film, Game and any other possible applications. UI for AutoGain is very basic but the app is very functional. currently only for MacOS

Implementation of the reweighted wake-sleep machine learning algorithm

[IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"

Decor8 AI SDK for AI Interior Design And Virtual Property Staging

Towards Domain Free Transformer for Generalized EEG Pre-training

The world's first open-source bipolar & depression detector powered by your Apple Health data.

Virtual Staging with AI

Custom dashboard for Fitbit users. RAG support (gemini-based) for chatting with your data and getting insights about your fitness activities and sleep data

Notebooks for training the classifier of YASA sleep staging

[Arxiv] Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework