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2d-3d-registration

Code for ICRA 2016 Paper "2D-Image to 3D-Range Registration in Urban Environments via Scene Categorization and Combination of Similarity Measurements"

2d3dautoreg

GPU and CPU DRR Generation with automatic local optimization

3d-2d-mri-tvus-image-registration

Implementation of Mapping and Characterizing Endometrial Implants by Registering 2D Transvaginal Ultrasound to 3D Pelvic Magnetic Resonance Images

3d-unet--tensorflow

3D Unet for Isointense Infant Brain Image Segmentation

3d-unet-pytorch

implementation of 3DUNet by PyTorch 1.0

3dunet-pytorch

3DUNet implemented with pytorch

active_contour_lbf_python

acwe

Python implementation of paper Active Contour Without Edges

airlab

Image registration laboratory for 2D and 3D image data

amazing-semantic-segmentation

Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)

arsenal

Arsenal of python utilities.

awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

canny_edge_detector

Canny Edge detector library

crfasrnn_keras

CRF-RNN Keras/Tensorflow version

ct-simulation

X-ray physics simulation matlab platform for CT(mainly)

ctreconstruction

Algorithms for ct reconstruction

dcgan

The Simplest DCGAN Implementation

decisiontrees

Seminar work "Decision Trees - An Introduction" with presentation, seminar paper, and Python implementation

deep-photo-styletransfer

Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

deep-q-learning

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow

deeplearning_demo

some demo

deeplearninginmedicalimagingandmedicalimageanalysis

dicom-viewer

An application displaying 2D/3D Dicom

digital-image-processing

Digital image processing is introduced in detail. all code are implementing by OpenCV 3.4 and C++

efficientnet

Gluon implementation of EfficientNet and EfficientNet-lite

face_verification_experiment

Original Caffe Version for LightCNN-9. Highly recommend to use Pytorch Version (https://github.com/AlfredXiangWu/LightCNN)

fast_ncut

Projected Power Method : solve constrained eigen-value problem.

faster_rcnn_pytorch

Faster RCNN with PyTorch