Alternatives and similar repositories for TSFF

Users that are interested in TSFF are comparing it to the libraries listed below

• Ma-Xinzhi / EEG-TransNet
  ☆24Updated 6 months ago
• hongyizhi / TSFCNet
  ☆12Updated last year
• MiaoZhengQing / LMDA-Code
  code for LMDA
  ☆81Updated last year
• EdgarMoyete / EEG-Classification-with-CNN
  Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…
  ☆48Updated 2 years ago
• martinwimpff / channel-attention
  ☆36Updated last year
• comojin1994 / m-shallowconvnet
  Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals
  ☆35Updated 2 months ago
• Ma-Xinzhi / LightConvNet
  ☆22Updated last year
• EdgarMoyete / Deep-Learning-BCI-IV-2a
  Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores
  ☆55Updated 4 years ago
• zshubin / DDGCNN
  DDGCNN for ssvep
  ☆15Updated last year
• SheepTAO / MSVTNet
  MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding
  ☆25Updated last month
• zhengqq / DRDA_EEG
  ☆14Updated 3 years ago
• Pooria90 / EEG-Motor-Imagery-Analysis
  The codes that I implemented during my B.Sc. project.
  ☆22Updated 3 years ago
• Want2Vanish / FBMSNet
  This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.
  ☆38Updated last year
• matt-houk / MB3DCNN
  Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…
  ☆18Updated 3 years ago
• bciResearcher / CT-adaptTL
  Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding
  ☆15Updated last year
• AbbasSalami / EEG-ITNet
  ☆33Updated 11 months ago
• arkanivasarkar / EEG-Data-Augmentation-using-Variational-Autoencoder
  Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals
  ☆43Updated 7 months ago
• doc-ycm / EEG-ATCNet-pytorch
  ☆20Updated last year
• GeometricBCI / Tensor-CSPNet-and-Graph-CSPNet
  This is the python implementation of Tensor-CSPNet and Graph-CSPNet.
  ☆69Updated last month
• lwlBCI / EEG-MI-ATCNet
  运动想象分类模型---ATCNet，源代码融合了关于EEGNet,DeepConvNet,ShallowConvNet等多种典型模型作对比
  ☆27Updated 2 years ago
• hancan16 / SST-DPN
  A Lightweight and High Performance Neural network for MI-EEG decoding
  ☆26Updated 3 months ago
• zk-xju / DB-ATCNet
  Dual-Branch Convolution Network with Efficient Channel Attention for EEG-Based Motor Imagery Classification
  ☆13Updated 10 months ago
• esantamariavazquez / EEG-Inception
  Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing
  ☆45Updated last year
• tju-sun-lab / EEG-ARNN
  Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …
  ☆18Updated 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…
  ☆45Updated 2 years ago
• rootskar / EEGMotorImagery
  EEG motor imagery classification using convolutional neural networks
  ☆35Updated 2 years ago
• erinqhu / EEG-motor-imagery
  ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …
  ☆50Updated 4 years ago
• CECNL / EEG-KD
  ☆12Updated 2 years ago
• jingwang2020 / ECML-PKDD_MMCNN
  MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification
  ☆21Updated 5 years ago
• vsjadhav / SEED_emotion_recognition_with_transfer_learning
  EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V
  ☆34Updated last year