ChelovekHe's repositories
NiftyNet
An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
3d-DenseNet
3D Dense Connected Convolutional Network (3D-DenseNet for action recognition)
cardiac-segmentation
Right Ventricle Cardiac MRI Segmentation:2D U-net,2D Dilated u-nets, 2D Dilated densenets: multiple scales at once
yolov2
YOLOv2 Implementation in Keras
end2end-all-conv
End-to-end training for breast cancer diagnosis using deep all convolutional networks
YOLO3D
3D YOLO Implementation in TensorFlow
sru
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
cnn_finetune
Fine-tune CNN in Keras
SENet
Squeeze-and-Excitation Networks
OpenPano
OpenPano: Automatic Panorama Stitching From Scratch
pytorch-caffe-darknet-convert
convert between pytorch, caffe prototxt/weights and darkness cfg/weights
DenseNet
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
HeartSeg
code of DenseVoxNet and 3D-DSN
Augmentor
Image augmentation library in Python for machine learning.
3DUnetCNN
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
tensorflow-plot
📈 TensorFlow Plot Ops (In Progress)
DLTK
Deep Learning Toolkit for Medical Image Analysis
CADLab
Imaging Biomarkers and Computer-Aided Diagnosis Laboratory
morphsnakes
Morphological snakes for image segmentation and tracking
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
RFCN-tensorflow
RFCN implementation in TensorFlow
ENet
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
vision
Datasets, Transforms and Models specific to Computer Vision
squeezeDet
A tensorflow implementation for SqueezeDet, a convolutional neural network for object detection.
deep-mil-for-whole-mammogram-classification
Zhu, Wentao, Qi Lou, Yeeleng Scott Vang, and Xiaohui Xie. "Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification." MICCAI 2017.
py-R-FCN
R-FCN with joint training and python support
LightWeightHOG
A fast HOG feature extractor
torchsample
High-Level Training, Data Augmentation, and Utilities for Pytorch
LungCancerDetection
Lung cancer detection framework: LIDC sensitivities 0.839 per 4 false
imfractal
A library to compute (multi)fractal dimensions of images written in Python.