ginvermouth

the-art-of-command-line

Master the command line, in one page

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

pytorch_tiramisu

FC-DenseNet in PyTorch for Semantic Segmentation

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-classification

Classification with PyTorch.

Multichannel_Image_Pytorch_Dataset

A Dataset that supports images with an arbitrary number of channels for both inputs and outputs for image segmentation

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)

3d-nii-visualizer

A NIfTI (nii.gz) 3D Visualizer using VTK and Qt5

PyDense2

A pythonic wrapper to the PyDenseCRF package.

MICCAI-LITS2017

liver segmentation using deep learning

vnet.pytorch

A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

NiftyNet

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

VNet

vnet-tensorflow

Implementation of vnet in tensorflow for medical image segmentation

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

CornerNet

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

tensorflow

An Open Source Machine Learning Framework for Everyone

3DUnetCNN

Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

Faster-RCNN-TensorFlow-Python3

Tensorflow Faster R-CNN for Windows/Linux and Python 3 (3.5/3.6/3.7)

pcc

Resources for Python Crash Course, from No Starch Press.

tensorflow-deeplab-v3-plus

DeepLabv3+ built in TensorFlow

models

Models and examples built with TensorFlow

deeplab_v3

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

Creat_FRCNN_DataSet

A-Variation-of-Dice-coefficient-Loss-Caffe-Layer

Compute the variation of dice coefficient loss for real-value regression task.

caffe-segnet

Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

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.

Caffe-Python-Basic-Tutorial

Includes implementation details of almost every layer, weight fillers, solvers, loss functions and data layer setup with every parameter.