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-continuous-convolutional-neural-network-with-3d-input-for-eeg-based-emotion-recognition

This repository contains the tensorflow implementation for our ICONIP-2018 paper: "Continuous Convolutional Neural Network with 3D Input for EEG-Based Emotion Recognition" (To appear...)

adaptiveriemannianbci

Python code for an adaptive Brain Computer Interface based on Riemannian Geometry.

asd-diagnet

asd_gp_gcn

ASD diagnosis on ABIDE I

attention_asd_screening

Attention-based Autism Spectrum Disorder Screening

awesome-pytorch-list-cnversion

Awesome-pytorch-list 翻译工作进行中......

bci-challenge-ner-2015

Code and documentation for the winning solution to the BCI Challenge @ NER 2015 : https://www.kaggle.com/c/inria-bci-challenge

bci2000-eeg-autism-signal-classification

eeg-BCI2000-signal-Autism--classification

bci2kreader

Python Reader for BCI2000 files

bci_mi_csp_dnn

Classification algorithm based on motor imagery brain-computer interface

brain-computerinterfaceproject

The Brain Computer Interface Project to classify binary digit imagination

brainnet-ml-toolbox

Python Machine Learning Toolbox for Brain Network Classification. Source codes are included of the top 20 teams in the Kaggle competition.

brainon-an-online-brain-computer-interface-bci-framework

This BrainOn project, which was developed in python with multi-threading concurrency programming, is aimed to create an online brain-computer interface (BCI) framework for feature modulation and processing, allowing researchers to develop their own online experiment programs easily and quickly.

convlstm_pytorch

Implementation of Convolutional LSTM in PyTorch.

cv

✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】

cvpr2024-papers-with-code

CVPR 2024 论文和开源项目合集

deep-learning-for-bci

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

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep-learning-framework

深度学习脚手架

deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

deepneuro

A deep learning python package for neuroimaging data. Made by:

deepsmote

Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".

deform-cnn

Deformable convolutional networks for electrocardiogram diagnosis using pytorch

depression_identification

A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks

dgcnn

pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks

dl-eeg-playground

Deep Learning EEG Playground

dl_papers-codes

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

ecg-gan-cnnlstm-attention

1D GAN for ECG Synthesis and 3 models: CNN, LSTM, and Attention mechanism for ECG Classification.

ecg_bi-transformer

eeg-adapt

Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".