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EEG-DIF: Early Warning of Epileptic Seizures through Generative Diffusion Model-based Multi-channel EEG Signals Forecasting

🐋MindChat（漫谈）——心理大模型：漫谈人生路, 笑对风霜途

[ICML2024] Unified Training of Universal Time Series Forecasting Transformers

Deep learning software to decode EEG, ECG or MEG signals

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Zhejiang University Graduation Thesis LaTeX Template

High-Resolution Image Synthesis with Latent Diffusion Models

Implementation of Domain Specific Denoising Diffusion Probabilistic Models for Brain Dynamics/EEG Signals

[TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

A Bayesian Spatial-Temporal Transformer for Sleep Staging

Materials for the Hugging Face Diffusion Models Course

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

ZuCo Reading Task Classification Benchmark using EEG and Eye-Tracking Data

code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"

[ICASSP 2022] EEG - Music Cross Modal Learning

NSRR

This mathematics course is taught for the first year Ph.D. students of computer science and related areas @zju

This is a dataset acquired from our experimental setup in our study of inferring human emotions from EEG signals

List of papers, code and experiments using deep learning for time series forecasting

The fusion of MNE and PyTorch for accelerated deep-neural-network based BCI-systems and Neurophysiology signal analysis.

Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications