PadX's repositories
AdelaiDet
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
batchgenerators
A framework for data augmentation for 2D and 3D image classification and segmentation
cocoapi
COCO API - Dataset @ http://cocodataset.org/
Coronary-Artery-Tracking-via-3D-CNN-Classification
The PyTorch re-implement of a 3D CNN Tracker to extract coronary artery centerlines with state-of-the-art (SOTA) performance. (paper: 'Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier')
few-shot
Repository for few-shot learning machine learning projects
github-slideshow
A robot powered training repository :robot:
keras-deeplab-v3-plus
Keras implementation of Deeplab v3+ with pretrained weights
keras-gcnn
Roto-reflection equivariant CNNs for Keras as presented in B. S. Veeling, J. Linmans, J. Winkens, T. Cohen, M. Welling. "Rotation Equivariant CNNs for Digital Pathology".
keras-oneshot
koch et al, Siamese Networks for one-shot learning, (mostly) reimplimented in keras
labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Labelme2Coco
Make your own dataset for object detection and transform the format to coco json format
Linking-CNN-GCN
Artery vein separation
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
MissingDataChallenge
Scripts for the missing data challenge 2023
mmdetection
OpenMMLab Detection Toolbox and Benchmark
models
Models and examples built with TensorFlow
MultiPlanarUNet
Multi-Planar UNet for autonomous segmentation of 3D medical images
pdccoRSOS
This repository contains the source code and scripts used in the paper "Parallel generation of extensive vascular networks with application to an archetypal human kidney model". This work is licensed under a CC0 1.0 Universal license.
s2cnn
Spherical CNNs
smrt
Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.
UNetPlusPlus
Official Keras Implementation for UNet++ in IEEE Transactions on Medical Imaging and DLMIA 2018
VascularNetwork
Generation of a Vascular Network in a 3D space depending only on Numpy and Matplotlib
VGN
Deep Vessel Segmentation by Learning Graphical Connectivity
vmtk
the Vascular Modeling Toolkit
yolact
A simple, fully convolutional model for real-time instance segmentation.