18720936539's Stars
dair-ai/ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
nkicsl/OIA
Ophthalmic Image Analysis Dataset
aleju/imgaug
Image augmentation for machine learning experiments.
titu1994/DenseNet
DenseNet implementation in Keras
CoinCheung/pytorch-loss
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
niecongchong/DANet-keras
keras-Dual Attention Network for Scene Segmentation
DeepMotionAIResearch/DenseASPP
DenseASPP for Semantic Segmentation in Street Scenes
clovaai/CutMix-PyTorch
Official Pytorch implementation of CutMix regularizer
yuni1314/ASPP_Attn_U-Net
lukemelas/EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
google-research/noisystudent
Code for Noisy Student Training. https://arxiv.org/abs/1911.04252
Tony607/Focal_Loss_Keras
Multi-class classification with focal loss for imbalanced datasets
rwightman/gen-efficientnet-pytorch
Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS
qubvel/efficientnet
Implementation of EfficientNet model. Keras and TensorFlow Keras.
yu4u/mixup-generator
An implementation of "mixup: Beyond Empirical Risk Minimization"
fupiao1998/res2net-keras
Keras implementation of a res2net module with tf banckend
weiaicunzai/awesome-image-classification
A curated list of deep learning image classification papers and codes
mrgloom/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
clguo/DRNet_Keras
DENSE RESIDUAL NETWORK FOR RETINAL VESSEL SEGMENTATION
yashgupta-7/Medical-Image-Segmentation
[Pytorch] U-Net and R2U-Net models for Image Segmentation. Results are shown for STARE/DRIVE datasets.
PlanTL-GOB-ES/Biomedical-Word-Embeddings-for-Spanish
Biomedical Word embeddings generated from Spanish Biomedical corpora.
junqiangchen/Image-Segmentation-Loss-Functions
some loss functions of image segmentation
Project-MONAI/MONAI
AI Toolkit for Healthcare Imaging
JunMa11/SegLossOdyssey
A collection of loss functions for medical image segmentation
MIC-DKFZ/nnUNet
ieee8023/covid-chestxray-dataset
We are building an open database of COVID-19 cases with chest X-ray or CT images.
JunMa11/SOTA-MedSeg
SOTA medical image segmentation methods based on various challenges
qubvel-org/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
NifTK/NiftyNet
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
balavenkatesh3322/CV-pretrained-model
A collection of computer vision pre-trained models.