kaixinhuaihuai

-

2D-and-3D-Deep-Autoencoder

Convolutional AutoEncoder application on MRI images

2D-RetinaNet-for-Prostate-Localization-in-mpMRI

Fully supervised, healthy/malignant prostate detection in multi-parametric MRI (T2W, DWI, ADC), using a modified 2D RetinaNet model for medical object detection, built upon a shallow SEResNet backbone.

3D-CNN-fMRI-ASD

3d-DenseNet

3D Dense Connected Convolutional Network (3D-DenseNet for action recognition)

3D-MRI-brain-tumor-segmentation-using-autoencoder-regularization

Pytorch implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. [https://arxiv.org/abs/1810.11654]

3d-mri-brain-tumor-segmentation-using-autoencoder-regularization-1

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

3D-Multi-resolution-Model-for-Diagnosis-of-Multiple-Pathological-Types-on-Pulmonary-Nodules

3D-ResNets-PyTorch

3D ResNets for Action Recognition (CVPR 2018)

NGS-pipeline

kaixinhuaihuai/4Dsurvival

Deep learning cardiac motion analysis for survival prediction

kaixinhuaihuai/Basic_CNNs_TensorFlow2

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

kaixinhuaihuai/boruta_py

Python implementations of the Boruta all-relevant feature selection method.

kaixinhuaihuai/DeepSurvivalMachines

Deep Survival Machines - Fully Parametric Survival Regression

kaixinhuaihuai/efficientnet-1

Implementation of EfficientNet model. Keras and TensorFlow Keras.

kaixinhuaihuai/Efficientnet-classification

kaixinhuaihuai/EfficientNet-PyTorch

A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

kaixinhuaihuai/efficientnet-yolo3-pytorch

这是一个efficientnet-yolo3-pytorch的源码，将yolov3的主干特征提取网络修改成了efficientnet

kaixinhuaihuai/efficientnet_keras_transfer_learning

Transfer Learning with EfficientNet in Keras

kaixinhuaihuai/gen-efficientnet-pytorch

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

kaixinhuaihuai/image-classifier-keras

Some basic neural network implement by tf2.0

kaixinhuaihuai/image_class

基于keras集成多种图像分类模型： VGG16、VGG19、InceptionV3、Xception、MobileNet、AlexNet、LeNet、ZF_Net、ResNet18、ResNet34、ResNet50、ResNet_101、ResNet_152、DenseNet

kaixinhuaihuai/imgaug

Image augmentation for machine learning experiments.

kaixinhuaihuai/imgclsmob

Sandbox for training deep learning networks

kaixinhuaihuai/keras_efficientnet_v2

self defined efficientnetV2 according to official version. Including converted ImageNet/21K/21k-ft1k weights.

kaixinhuaihuai/MAML-keras

Using keras and tf build MAML

kaixinhuaihuai/MEDIUM_NoteBook

Repository containing notebooks of my posts on Medium

kaixinhuaihuai/ML_Practice

ML Records in 1110 Lab of BUPT. Some detailed information can be referenced on: https://mathpretty.com/10388.html

kaixinhuaihuai/moco

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

kaixinhuaihuai/multisurv

Multimodal deep learning model for long-term cancer survival prediction

kaixinhuaihuai/openslide-python

Python bindings to OpenSlide

kaixinhuaihuai/pymrmr

Python3 binding to mRMR Feature Selection algorithm (currently not maintained)

kaixinhuaihuai/pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

kaixinhuaihuai/pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

kaixinhuaihuai/segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

kaixinhuaihuai/shap

A game theoretic approach to explain the output of any machine learning model.

kaixinhuaihuai/STIC-model

Source code for SpatialExtractor-TemporalEncoder-Integration-Classifier (STIC) model

kaixinhuaihuai/TensorFlow2.0_ResNet

A ResNet(ResNet18, ResNet34, ResNet50, ResNet101, ResNet152) implementation using TensorFlow-2.0.

kaixinhuaihuai/tutorials

MONAI Tutorials

kaixinhuaihuai/Yet-Another-EfficientDet-Pytorch

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.