dlcjfgmlnasa

dlcjfgmlnasa's Stars

• LCSB-SCG/DRIVEN

  Language:Python1

• ys-zong/awesome-self-supervised-multimodal-learning

  A curated list of self-supervised multimodal learning resources.

  1917

• rthapa84/sleepfm-codebase

  Language:Python341

• dlcjfgmlnasa/Barlow_Twins_EEG

  A Novel Negative-sample-free Contrastive Self-Supervised Learning for EEG-Based Motor Imagery Classification

  11

• dlcjfgmlnasa/AudioSleepNet

  Language:Python11

• MedMaxLab/selfEEG

  selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data

  Language:Python3111

• dlcjfgmlnasa/NeuroXAI

  NeuroXAI: Adaptive, Robust, Explainable Surrogate Framework for Determination of Channel Importance in EEG Application

  21

• dlcjfgmlnasa/NeuroNet

  NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG

  Language:Python142

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook13.6k1.2k

• geekfeiw/Multi-Scale-1D-ResNet

  pytorch code of multi scale 1d resnet, we hope it will help your research

  Language:Python20449

• TomSchimansky/CustomTkinter

  A modern and customizable python UI-library based on Tkinter

  Language:Python10.8k1k

• YuanGongND/cav-mae

  Code and Pretrained Models for ICLR 2023 Paper "Contrastive Audio-Visual Masked Autoencoder".

  Language:Python21422

• arxyzan/data2vec-pytorch

  PyTorch implementation of "data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language" from Meta AI

  Language:Python16526

• likith012/mulEEG

  Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"

  Language:Python2920

• larryshaw0079/CoSleep

  Language:Jupyter Notebook5

• facebookresearch/vicreg

  VICReg official code base

  Language:Python49986

• OrigamiDream/gato

  Unofficial Gato: A Generalist Agent

  Language:Python19026

• EdisonLeeeee/Awesome-Masked-Autoencoders

  A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).

  72551

• chongwar/gnn-eeg

  Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.

  Language:Python485

• makism/dyconnmap

  A dynamic connectome mapping module in python.

  Language:Python9931

• nnzhan/Graph-WaveNet

  graph wavenet

  Language:Python581197

• labstructbioinf/EdgeGat

  graph neural network layer for Deep Graph Library with pytorch backend

  Language:Python193

• yi-ding-cs/LGG

  [TNNLS-2023] This is the PyTorch implementation of LGGNet.

  Language:Python6714

• zacharycbrown/ssl_baselines_for_biosignal_feature_extraction

  Implementations of various published works on self-supervised learning approaches to biosignal feature extraction.

  Language:Python518

• sicara/easy-few-shot-learning

  Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

  Language:Python960132

• ycq091044/ContraWR

  JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning

  Language:Python395

• divelab/DIG

  A library for graph deep learning research

  Language:Python1.8k277

• dlcjfgmlnasa/GIN_Real_Estate_Forecast

  부동산 지인 사이트에 사용될 각 아파트별 현재 시세 예측 시스템

  Language:Python104

• dlcjfgmlnasa/Text-Classification_with_word_based

  딥러닝을 활용한 문장 분류(with word based)

  Language:Python3

• emadeldeen24/TS-TCC

  [IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

  Language:Python33696