Pinned Repositories
awesome-bci
Curated Collection of BCI resources
awesome_lightweight_networks
The implementation of various lightweight networks by using PyTorch. such as：MobileNetV2，MobileNeXt，GhostNet，ParNet，MobileViT、AdderNet，ShuffleNetV1-V2，LCNet，ConvNeXt，etc. ⭐⭐⭐⭐⭐
BCI-ToolBox
Deep Learning pipeline for motor-imagery classification.
BCI-XR
A python library for BCI
BCI_MI_Wavelet_CNN
Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network
brainbrowser
Web-based visualization tools for neurological data.
challenge
doublekill
git-demo
SP_Lib
Signal processing method and algorithm library
damondenghj's Repositories
damondenghj/git-demo
damondenghj/SP_Lib
Signal processing method and algorithm library
damondenghj/awesome-bci
Curated Collection of BCI resources
damondenghj/awesome_lightweight_networks
The implementation of various lightweight networks by using PyTorch. such as：MobileNetV2，MobileNeXt，GhostNet，ParNet，MobileViT、AdderNet，ShuffleNetV1-V2，LCNet，ConvNeXt，etc. ⭐⭐⭐⭐⭐
damondenghj/BCI-ToolBox
Deep Learning pipeline for motor-imagery classification.
damondenghj/BCI-XR
A python library for BCI
damondenghj/brainbrowser
Web-based visualization tools for neurological data.
damondenghj/challenge
damondenghj/doublekill
damondenghj/ECML-PKDD_MMCNN
MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification
damondenghj/eeg-adapt
Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".
damondenghj/EEG-classification
paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”
damondenghj/EEG-classification-1
in this mini project i will use the libraries mne and braindecode to analyze and classify public domain EEG(ML) signals provided by physionet.org
damondenghj/EEG-Conformer
EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.
damondenghj/EEG-Datasets
A list of all public EEG-datasets
damondenghj/EEG_MI_wavelet_CNN_Test
基于小波变换和卷积神经网络的脑电运动成像信号分类
damondenghj/gravitational_wave_data_2D_analysis
Gravitational wave data analysis and signal detection (in time-frequence images) with 2D AI model
damondenghj/kernel_memory_management
总结整理linux内核的内存管理的资料，包含论文，文章，视频，以及应用程序的内存泄露，内存池相关
damondenghj/LMDA-Code
code for LMDA
damondenghj/MobileVit_TensorRT
TensorRT 2022 亚军方案，tensorrt加速mobilevit模型
damondenghj/Motor-Imagery-Papers
A list of papers for motor imagery using machine learning/deep learning.
damondenghj/MotorImageryTutorial
Simple and elegant python implementation of "Transfer learning for motor imagery based brain–computer interfaces: A tutorial" [Neural Netw. 2022] by Wu, et al.
damondenghj/NDDM
Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance (response time and accuracy) to understand cognition.
damondenghj/Oxford_Pits_VGG16_AlexNet_Architectures
damondenghj/Python-EEG-Handbook
Python脑电数据处理中文手册 - A Chinese handbook for EEG data analysis based on Python
damondenghj/Skiplist_server_client
基于跳表的数据库服务器和客户端
damondenghj/TinyWebServer
:fire: Linux下C++轻量级Web服务器学习
damondenghj/Transfer-learning-trends
A collection of trends about transfer learning
damondenghj/TRT-Hackathon-2022-final
<Good Luck To You!> 's work for <TRT-Hackathon-2022-final>
damondenghj/TSFF