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

graph wavenet

implementation of FBCSP algorithm

PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (NeurIPS 2024)

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Code for "Deep Multi-View Module Adaptation Transfer Network for Subject-Specific EEG Recognition"

This is the python implementation of Tensor-CSPNet and Graph-CSPNet.

joint

[TNNLS-2023] This is the PyTorch implementation of LGGNet.

[NIPS2023] This is an official implementation of paper "DAC-DETR: Divide the Attention Layers and Conquer".

EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comparing the performance across different models.

This is the official repo for the NeurIPS 2024 paper "Improving Neural ODE Training with Temporal Adaptive Batch Normalization".

FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing [NeurIPS 2024]

[NeurIPS 2024] BLAST: Block Level Adaptive Structured Matrix for Efficient Deep Neural Network Inference

Scalable and user friendly neural 🧠 forecasting algorithms.

Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.

Official implementation of the paper "FilterNet: Harnessing Frequency Filters for Time Series Forecasting"

Codebase for publication "Neural decoding from stereotactic EEG: accounting for electrode variability across subjects" @ NeurIPS (2024)

Clarkson University Computer Engineering Senior Design Project to create a Brain Controlled Interface (BCI) device to use Electroencephalogram (EEG) data from an Emotiv X Headset and control a 6 ax…

Evaluating the role of EEG preprocessing for deep learning applications.

Implementation for the paper 'Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport' (ICLR 2023)

This is the code for WaveletKernelNet.

🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python

LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition

EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow

A simulator of the spatial spread of the epidemics using cellular-automata and compartmental models

Official implementation for the IJCAI'24 paper: SDformer