xuenannan

xuenannan's Stars

• google-research/google-research

  Google Research

  Language:Jupyter Notebook33.8k7511.2k7.8k

• HobbitLong/SupContrast

  PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

  Language:Python3.1k19133526

• Jongchan/attention-module

  Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

  Language:Python2k1950399

• ozan-oktay/Attention-Gated-Networks

  Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

  Language:Python1.9k350423

• mlr-org/mlr3

  mlr3: Machine Learning in R - next generation

  Language:R9302862086

• jeya-maria-jose/Medical-Transformer

  Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021

  Language:Python796791175

• wjbgis/Sedentary-reminder

  PC端久坐提醒小工具（Sedentary reminder for windows.）

  Language:C#24341644

• SaoYan/LearnToPayAttention

  PyTorch implementation of ICLR 2018 paper Learn To Pay Attention (and some modification)

  Language:Python1643948

• czifan/DeepSurv.pytorch

  Language:Python1271826

• liupei101/TFDeepSurv

  COX Proportional risk model and survival analysis implemented by tensorflow.

  Language:Python9931727

• MGensheimer/nnet-survival

  Discrete-Time Survival Model for Neural Networks

  Language:Python877427

• ChatzigeorgiouGroup/FractalDimension

  A python function to calculate the fractal dimension in 3D.

  Language:Jupyter Notebook693322

• Google-Health/google-health

  Language:Python6513117

• taliq/TEA-graph

  First commit

  Language:Python561812

• sfczekalski/attention_unet

  Neural Network for semantic segmentation

  Language:Jupyter Notebook554217

• wangxiaodong1021/HCC_Prognostic

  Exploring prognostic indicators in pathological images of hepatocellular carcinoma based on deep learning

  Language:Python371012

• KatherLab/dl-mri

  Deep Learning MRI image analysis

  Language:Python35126

• shruti-jadon/Covid-19-Detection-Few-Shot-Learning

  Covid-19 Detection Experiments

  Language:Jupyter Notebook352215

• miacsu/MTTU-Net

  Language:Python34294

• AGFoersch/MultiStainDeepLearning

  Code from Foersch et al. (Under Construction / Development)

  Language:Python33309

• simonsf/RTP-Net

  Language:Python31142

• MLNeurosurg/deepglioma

  AI-based molecular classification of diffuse gliomas using rapid, label-free optical imaging

  Language:Python25127

• moloud1987/UncertaintyFuseNet-for-COVID-19-Classification

  Code implementation of 'UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection'

  Language:Jupyter Notebook21204

• zzc623/PR_survival_Prediction

  Language:Python15112

• DeepMedImg/DeepCT-LNM-Example

  Language:Python112

• thoraciclang/Deep_Lung

  Deep learning prognosis for lung cancer

  Language:CSS11312

• deep-med/DeepPET-OPSCC-Example

  This contains codes for inference using trained DeepPET-OPSCC Models

  Language:Python9203

• nariman351/convnext-image-classification

  Image Classification and Feature Extraction with ConvNeXt

  Language:Jupyter Notebook91

• Ksuriuri/DLNLF-net

  DLNLF-net: Denoised local and non-local deep features fusion network for malignancy characterization of hepatocellular carcinoma

  Language:Python40

• ZhichengJiao/COVID-19-prognostic-model

  Language:Python21