zhanghaobo-666's Stars
InsaneLife/MyPicture
Sample code and picture of my blog or project
felix-last/kmeans_smote
Oversampling for imbalanced learning based on k-means and SMOTE
Albertsr/Class-Imbalance
Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.
LuZhenHuan/ECG-Classification-Demo
ECG Classification
JavisPeng/ecg_pytorch
ecg classfication
rohanpillai20/Image-Classification-by-Keras-and-Tensorflow
Image Classification using Keras as well as Tensorflow.
spytensor/pytorch_img_classification_for_competition
use pytorch to do image classification
keras-team/keras
Deep Learning for humans
jameslyons/python_speech_features
This library provides common speech features for ASR including MFCCs and filterbank energies.
hichenway/stock_predict_with_LSTM
Predict stock with LSTM supporting pytorch, keras and tensorflow
jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
aymericdamien/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
shiba24/3d-unet
Chainer implementations of 3D UNet
Xiaoming-Yu/SingleGAN
SingleGAN: Image-to-Image Translation by a Single-Generator Network using Multiple Generative Adversarial Learning. ACCV 2018
junyanz/pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
davidiommi/Pytorch-Unet3D-single_channel
3D-Unet: patched based Pytorch implementation for medical images segmentation
wolny/pytorch-3dunet
3D U-Net model for volumetric semantic segmentation written in pytorch
JunMa11/MICCAI-OpenSourcePapers
MICCAI 2019-2023 Open Source Papers
juntang-zhuang/Adabelief-Optimizer
Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"
DengPingFan/Inf-Net
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images, IEEE TMI 2020.
Connor323/Lung-Lobes-Segmentation-in-CT-Scans
Segmentation of lung, pulmonary vessels and pulmonary fissures in CT Scans
imlab-uiip/lung-segmentation-3d
Lung fields segmentation on tomography images using convolutional neural networks.
JoHof/lungmask
Automated lung segmentation in CT
black0017/MedicalZooPytorch
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
ANTsX/ANTs
Advanced Normalization Tools (ANTs)
bigbigbean/N4BiasFieldCorrection
This is N4 bias field correction for MRI
sqbqamar/Variant-3D-UNet-for-Infant-Brain
An varient form of 3D_UNet architecture for Infant Brain Segmentation
poldracklab/pydeface
defacing utility for MRI images
junqiangchen/LiTS---Liver-Tumor-Segmentation-Challenge
LiTS - Liver Tumor Segmentation Challenge
xmengli/H-DenseUNet
TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes