Alternatives and similar repositories for Conditional-EEG-Diffusion

Users that are interested in Conditional-EEG-Diffusion are comparing it to the libraries listed below

• comojin1994 / DFformer
  Towards Domain Free Transformer for Generalized EEG Pre-training
  ☆28Updated 7 months ago
• bruAristimunha / Synthetic-Sleep-EEG-Signal-Generation-using-Latent-Diffusion-Models
  Code for the paper published in Deep Generative Models for Health Workshop at the Neurips 2023.
  ☆59Updated last year
• DevJake / EEG-diffusion-pytorch
  An implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch for EEG-based image reconstruction.
  ☆48Updated 2 years ago
• duanyiqun / DS-DDPM
  Implementation of Domain Specific Denoising Diffusion Probabilistic Models for Brain Dynamics/EEG Signals
  ☆61Updated 2 years ago
• Kang1121 / GITGAN
  ☆13Updated last year
• MAILAB-korea / META-EEG
  META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces
  ☆24Updated last year
• sylyoung / DeepTransferEEG
  ☆41Updated 2 months ago
• hancan16 / SST-DPN
  A Lightweight and High Performance Neural network for MI-EEG decoding
  ☆36Updated 8 months ago
• hanzopgp / BrainDataAugmentation
  Brain EEG signal data augmentation using synthetic signals generated by a single step diffusion probabilistic model.
  ☆20Updated 2 years ago
• MiaoZhengQing / LMDA-Code
  code for LMDA
  ☆85Updated 2 years ago
• 1061413241 / MEET
  The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"
  ☆18Updated 3 years ago
• zjunet / Brant-X
  ☆26Updated last year
• DingWenl / CNN-FormerWithEEG-ME
  CNN-Former model with EEG-ME for SSVEP classification (TNSRE)
  ☆14Updated last year
• dberma02 / GAN_for_Synthetic_EEG_Data
  Using GAN to create synthetic and partially synthetic EEG data to augment training sets for motor imagery interaction tasks
  ☆12Updated 6 years ago
• GeometricBCI / Tensor-CSPNet-and-Graph-CSPNet
  This is the python implementation of Tensor-CSPNet and Graph-CSPNet.
  ☆79Updated last month
• JohnBoxAnn / TSGL-EEGNet
  ☆10Updated 4 years ago
• SheepTAO / MSVTNet
  MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding
  ☆30Updated 6 months ago
• SheepTAO / dpeeg
  Deep Learning with EEG.
  ☆23Updated last month
• MischaRauch / Stable_Diffusion_on_EEG_Signals
  Using Stable Diffusion on the DEAP Dataset to argument new data and improve classification
  ☆22Updated 2 years ago
• SCUT-IEL / STAnet
  This repository contains the python scripts developed as a part of the work presented in the paper "STAnet: A Spatiotemporal Attention Ne…
  ☆14Updated 2 years ago
• martinwimpff / eeg-otta
  ☆18Updated last year
• sylyoung / MetaEEG
  ☆13Updated 2 years ago
• doc-ycm / EEG-ATCNet-pytorch
  ☆21Updated 2 years ago
• eeg-augmentation-benchmark / eeg-augmentation-benchmark-2022
  Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…
  ☆49Updated 3 years ago
• XYH0118 / EEGDfus
  PyTorch implementation of EEGDfus
  ☆19Updated 2 months ago
• Navidfoumani / EEG2Rep
  KDD24 - EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs
  ☆78Updated last month
• wzwvv / DBConformer
  [IEEE JBHI 2025] DBConformer: Dual-Branch Convolutional Transformer for EEG Decoding
  ☆34Updated last month
• ThreePoundUniverse / MACTN
  ☆19Updated 2 years ago
• sabinechen / SPD-CNN-Using-Meta-Transfer-Learing-EEG-Cross-Subject-learning
  SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…
  ☆23Updated 3 years ago
• 935963004 / MAET
  [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels
  ☆58Updated 2 months ago