YmirKhang

YmirKhang's Stars

• re-sirb/Vital-signs

  This project is an independent approach to acquire patient data from Philips patient monitors via network interface.

  Language:Python123

• stanfordmlgroup/ed-monitor-data

  Language:Python11

• DeepPSP/torch_ecg

  Deep learning ECG models implemented using PyTorch

  Language:Python18921

• bowang-lab/ECG-FM

  An electrocardiogram analysis foundation model.

  Language:Jupyter Notebook1074

• UMCUtrecht-ECGxAI/ecgxai

  Neatly packaged AI methods for explainable ECG analysis

  Language:Python5613

• abdulvahapmutlu/atrial-fibrillation-smolk

  AtrialFibrillation-Classification-SMoLK is a deep learning project designed to classify arrhythmias, specifically focusing on atrial fibrillation (Afib), using the MIT-BIH Arrhythmia Database. The project leverages a neural network model with learned filters to achieve high classification accuracy across multiple classes.

  Language:Jupyter Notebook1

• embodied-computation-group/systole

  Systole: A python package for cardiac signal synchrony and analysis

  Language:Python8232

• ChristophReich1996/ECG_Classification

  Official and maintained implementation of the paper "Exploring Novel Algorithms for Atrial Fibrillation Detection by Driving Graduate Level Education in Medical Machine Learning" (ECG-DualNet) [Physiological Measurement 2022, EMBC 2023].

  Language:Python599

• lxdv/ecg-classification

  ECG Arrhythmia classification using CNN

  Language:Jupyter Notebook25571

• sjpiper145/MakerSkillTree

  A repository of Maker Skill Trees and templates to make your own.

  Language:Jinja3k131

• cbmi-uthsc/sepsisPrediction

  Language:Jupyter Notebook3222

• microsoft/mimic_sepsis

  Sepsis cohort from MIMIC dataset

  Language:Python9832

• aniruddhraghu/sepsisrl

  Reinforcement Learning for optimal sepsis treatment policies

  Language:Jupyter Notebook10153

• alistairewj/sepsis3-mimic

  Evaluation of the Sepsis-3 guidelines in MIMIC-III

  Language:Jupyter Notebook19080

• sedab/EarlySepsisPrediction

  Early Prediction of Sepsis from Clinical Time Series Data

  Language:Jupyter Notebook3317

• life4/deal

  🤝 Design by contract for Python. Write bug-free code. Add a few decorators, get static analysis and tests for free.

  Language:Python76425

• Delgan/loguru

  Python logging made (stupidly) simple

  Language:Python20.4k709

• ventoy/Ventoy

  A new bootable USB solution.

  Language:C63.9k4.1k

• lensapp/lens

  Lens - The way the world runs Kubernetes

  22.6k1.5k

• GoogleCloudPlatform/k8s-config-connector

  GCP Config Connector, a Kubernetes add-on for managing GCP resources

  Language:Go906237

• derailed/k9s

  🐶 Kubernetes CLI To Manage Your Clusters In Style!

  Language:Go27.9k1.8k

• gitconsensus/GithubOrganizer

  Github App for making Organizations easier to manage

  Language:Python3711

• deezer/spleeter

  Deezer source separation library including pretrained models.

  Language:Python26.1k2.9k

• mingrammer/diagrams

  :art: Diagram as Code for prototyping cloud system architectures

  Language:Python40.1k2.6k

• Lightning-AI/pytorch-lightning

  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

  Language:Python28.7k3.4k

• taesungp/contrastive-unpaired-translation

  Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

  Language:Python2.3k422

• pytest-dev/pytest-mock

  Thin-wrapper around the mock package for easier use with pytest

  Language:Python1.9k147

• MIC-DKFZ/batchgenerators

  A framework for data augmentation for 2D and 3D image classification and segmentation

  Language:Jupyter Notebook1.1k223

• AdalbertoCq/Learning-a-low-dimensional-manifold-of-realcancer-tissue

  Corresponding code of 'Quiros A.C., Murray-Smith R., Yuan K. Learning a low dimensional manifold of real cancer tissue with PathologyGAN 2020'.

  Language:Python71

• basveeling/pcam

  The PatchCamelyon (PCam) deep learning classification benchmark.

  Language:Python479106