W-19980209

W-19980209's Stars

• mxrtia/EEG-denoising

  Denoising EEG signal with PCA, ICA and AR model.

  Language:Jupyter Notebook3

• chongwar/LSTM_EEG

  Implement Long Short-Term Memory(LSTM) with pytorch to handle raw EEG data

  Language:Python252

• dalinvip/cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

  In PyTorch Learing Neural Networks Likes CNN、BiLSTM

  Language:Python1.3k343

• theyou21/BigProject

  EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models

  Language:Jupyter Notebook3716

• yuliu96/CE-stSENet

  The model for the paper "Epileptic Seizure Detection in EEG Signals Using a Unified Temporal-Spectral Squeeze-and-Excitation Network"

  Language:Python7

• abhijithrb/SeizurePrediction

  A CNN + LSTM architecture to predict seizure from EEG data

  Language:Python4212

• eeyhsong/EEG-Transformer

  i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension (channel attention) and *temporal dimension*. iii. Common spatial pattern (CSP), an efficient feature enhancement method, realized with Python.

  Language:Python27029

• nntrongnghia/eeg-motor-imagery-decoding

  EEG Motor Imagery with Deep Learning

  Language:Python131

• Pooria90/EEG-Motor-Imagery-Analysis

  The codes that I implemented during my B.Sc. project.

  Language:Python222

• BUVANEASH/EEG-Motor-Imagery-Classification---ANN

  Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction

  Language:Jupyter Notebook8115

• Project-MONAI/tutorials

  MONAI Tutorials

  Language:Jupyter Notebook1.9k684

• ogdenk/CNSTumorClassifier

  Neural Network Classifier of CNS Tumors Using Radiomics Data From MRI Scans

  Language:Python2

• parikhdev0/Image-Classifier---Tumors-in-MRI-Scans

  An Image Classification Program that distinguishes between 2 categories of images

  Language:Python1

• fabioprev/MRI-Classifier

  Language:Shell21

• rupindeeplearning/MRI_Classifier

  MRI Classifier (Tumour/No Tumour) for brain scans of a variety of weighted imaging protocols. Aim: Getting to know Google's Teachable Machine platform, Streamlit and Heroku. NN Model generated by Google's TMP.

  Language:Python1

• Can-Wu/fMRI_classifier_sklearn

  Using sklearn and nilearn packages to decode functional MRI

  Language:Jupyter Notebook3

• j52y/mri-age-classifier

  Age Prediction of Brain MRI by 3D VGG Network

  Language:Python146

• Varoon3/MRI_Image_Classifier

  Re-Training an established Neural Network to classify MRI Image Data

  Language:Python166

• tanyajai/Brain_MRI_Tumor_Classifier

  Brain MR Image Tumor Detection

  Language:Jupyter Notebook3

• SajidBashar/Brain-Tumor-MRI-Scan-Classifier

  Language:Jupyter Notebook1

• navyatubati/brain-tumor-detection

  A CNN classifier for identifying type of tumor based on MRI scan image of brain

  Language:Jupyter Notebook2

• linhduongtuan/Brain_Tumor_MRI_Classifier

  Modified and fine-tune SOTA models in PyTorch for Brain Tumors Classification

  Language:Jupyter Notebook4