ginvermouth's Stars
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
jlevy/the-art-of-command-line
Master the command line, in one page
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
tensorflow/models
Models and examples built with TensorFlow
matterport/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
AlexeyAB/darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
shelhamer/fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
ehmatthes/pcc
Resources for Python Crash Course, from No Starch Press.
princeton-vl/CornerNet
ellisdg/3DUnetCNN
Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
bearpaw/pytorch-classification
Classification with PyTorch.
gpleiss/efficient_densenet_pytorch
A memory-efficient implementation of DenseNets
NifTK/NiftyNet
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
alexgkendall/caffe-segnet
Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling
rishizek/tensorflow-deeplab-v3-plus
DeepLabv3+ built in TensorFlow
sthalles/deeplab_v3
Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN
mattmacy/vnet.pytorch
A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
dBeker/Faster-RCNN-TensorFlow-Python3
Tensorflow Faster R-CNN for Windows/Linux and Python 3 (3.5/3.6/3.7)
assassint2017/MICCAI-LITS2017
liver segmentation using deep learning
seung-lab/connected-components-3d
Connected components on discrete and continuous multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants; periodic boundaries (4, 8, & 6)
bfortuner/pytorch_tiramisu
FC-DenseNet in PyTorch for Semantic Segmentation
faustomilletari/VNet
TimoSaemann/caffe-segnet-cudnn5
This repository was a fork of BVLC/caffe and includes the upsample, bn, dense_image_data and softmax_with_loss (with class weighting) layers of caffe-segnet (https://github.com/alexgkendall/caffe-segnet) to run SegNet with cuDNN version 5.
adamkwolf/3d-nii-visualizer
A NIfTI (nii.gz) 3D Visualizer using VTK and Qt5
jackyko1991/vnet-tensorflow
Implementation of vnet in tensorflow for medical image segmentation
abhi-kumar/Caffe-Python-Basic-Tutorial
Includes implementation details of almost every layer, weight fillers, solvers, loss functions and data layer setup with every parameter.
ruyiwei-cas/Creat_FRCNN_DataSet
HolmesShuan/A-Variation-of-Dice-coefficient-Loss-Caffe-Layer
Compute the variation of dice coefficient loss for real-value regression task.
yngvem/PyDense2
A pythonic wrapper to the PyDenseCRF package.
loftiskg/Multichannel_Image_Pytorch_Dataset
A Dataset that supports images with an arbitrary number of channels for both inputs and outputs for image segmentation