wafaaSalem

wafaaSalem's Stars

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.4k3k

• vijaydwivedi75/gnn-lspe

  Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

  Language:Python23635

• wangxianggit/HGRAN

  Hybrid-Attention Mechanism based Heterogeneous Graph Representation Learning

  Language:Jupyter Notebook2

• zzachw/MUSE

  Language:Jupyter Notebook131

• wondergo2017/DHGAS

  Implementation codes for AAAI23 paper "Dynamic Heterogeneous Graph Attention Neural Architecture Search"

  Language:Python172

• Alex-Zeyu/SBGCL

  Language:Python71

• PKU-ML/Message-Passing-Contrastive-Learning

  Official Code for ICLR 2023 Paper: A Message Passing Perspective on Learning Dynamics of Contrastive Learning

  Language:Python10

• TongjiFinLab/THGNN

  Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction

  Language:Python5510

• HKUDS/HGCL

  [WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"

  Language:Python9011

• GMouYes/DHC_HGL

  Code Repo for paper "Deep Heterogeneous Contrastive Hyper-Graph Learning for In-the-Wild Context-Aware Human Activity Recognition"

  Language:Python3

• ZhuJw31/MMER-TD

  Language:Python3

• YesLab-Code/HTGNN

  Language:Jupyter Notebook4615

• bob-lee-student/WHGCN

  Language:Python41

• facebookresearch/moco

  PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

  Language:Python4.7k775

• facebookresearch/mobile-vision

  Mobile vision models and code

  Language:Python896159

• mqwfrog/ULTS

  ULTS: A unified and standardized library of unsupervised representation learning approaches for time series

  Language:Python392

• Crazy-Jack/CCLK-release

  A repo for CCLK implementation

  Language:Python8

• emadeldeen24/CA-TCC

  [TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification

  Language:Python11930

• emadeldeen24/ECGTransForm

  [Biomedical Signal Processing and Control] ECGTransForm: Empowering adaptive ECG arrhythmia classification framework with bidirectional transformer

  Language:Python203

• googleinterns/local_global_ts_representation

  Language:Python227

• cruiseresearchgroup/COCOA

  COCOA: Cross Modality Contrastive Learning for Sensor Data

  Language:Python237

• actigraph/pygt3x

  Python module for reading GT3X/AGDC file format data

  Language:Python135

• actigraph/agcounts

  Code for the technical report on the ActiLife counts algorithm.

  Language:Python3113

• mims-harvard/TFC-pretraining

  Self-supervised contrastive learning for time series via time-frequency consistency

  Language:Python42278

• OxWearables/asleep

  asleep: a sleep classifier for wearable sensor data using machine learning

  Language:Python137

• sdimi/cardiofitness

  💪 Predict lab-measured cardio fitness (VO2max) through wearables in free-living environments (code for Nature Digital Medicine '22 paper)

  Language:Jupyter Notebook162

• yvonneywu/UDAMA

  (MLHC'23) UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction

  Language:Python6

• antonyalexos/Accelerometer-Knee-Osteoarthritis-Prediction

  This is the implementation of the paper "Physical activity as a risk factor in the progression of Osteoarthritis: A machine learning perspective". We use some simple Machine Learnign methods and the data from OAI.

  Language:Jupyter Notebook91

• piiswrong/dec

  Language:Jupyter Notebook455138

• actigraph/Sleep-Wake-Classification

  Analysis code for sleep-wake algorithm comparison

  Language:Python63