magenwei Goto Github PK

adabound

An optimizer that trains as fast as Adam and as good as SGD.

aeds-limited-angle-reconstruction-

An image reconstruction code for limited-angle Computed Tomography

binaryconnect

Training Deep Neural Networks with binary weights during propagations

bm3d

Clone from http://www.cs.tut.fi/~foi/GCF-BM3D/index.html#ref_software

bpf

BPF for circular cone-beam CT

ccpi-regularisation-toolkit

The set of CPU/GPU optimised regularisation modules for iterative image reconstruction and other image processing tasks

cnn-rpgd

ct-image-denoise

cvpr2019

cvpr2019 papers

deep-learning-cone-beam-ct

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

drbox

A deep learning based algorithm to detect rotated object, for example, objects in remote sensing images

dualgan

DualGAN-tensorflow: tensorflow implementation of DualGAN

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

geant4

Geant4 toolkit for the simulation of the passage of particles through matter - NIM A 506 (2003) 250-303

gsr-sart

Few-view CT reconstruction with group-sparsity regularization

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

ld-ct-simulation

low dose CT simulator to yield low dose CT images from high-dose one

learn

m2det

M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network

map-nn

Source code of MAP-NN paper

matlab-solarized

The Solarized theme for Matlab

msgan

MSGAN: Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis (CVPR2019)

pottslab

Multilabel image segmentation (color/gray/multichannel) based on the Potts model (aka piecewise constant Mumford-Shah model)

pwls-ultra-for-low-dose-3d-ct-image-reconstruction

pyro-nn

Python Reconstruction Operators in Neural Networks. High level python API for PYRO-NN-Layers

pyro-nn-layers

Implementation of reconstruction operators in CUDA for Tensorflow for the PYRO-NN Framework

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-cyclegan-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.