X-ma
I'm interested in diffusion MRI, compressed sensing, optimization, and sparse modeling.
Washington University in St. LouisSt. Louis
Pinned Repositories
18sp
ANTsTutorial
Guide to tutorial materials for ANTs/R
ceres-solver
A large scale non-linear optimization library
CudaLBFGS
This is a cross-platform, CUDA-based C++ library for general-purpose, unconstrained nonlinear optimization on the GPU. It implements the L-BFGS (“Limited-memory Broyden-Fletcher-Goldfarb-Shanno“) method, a popular Quasi-Newton variant with a low memory footprint.
cvpr16_deblur_study
A Comparative Study for Single Image Blind Deblurring (CVPR 2016)
CycleGAN
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
DeblurGAN
Image Deblurring using Generative Adversarial Networks
deeplearning-models
A collection of various deep learning architectures, models, and tips
ganhacks
starter from "How to Train a GAN?" at NIPS2016
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
X-ma's Repositories
X-ma/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
X-ma/18sp
X-ma/ANTsTutorial
Guide to tutorial materials for ANTs/R
X-ma/ceres-solver
A large scale non-linear optimization library
X-ma/CudaLBFGS
This is a cross-platform, CUDA-based C++ library for general-purpose, unconstrained nonlinear optimization on the GPU. It implements the L-BFGS (“Limited-memory Broyden-Fletcher-Goldfarb-Shanno“) method, a popular Quasi-Newton variant with a low memory footprint.
X-ma/cvpr16_deblur_study
A Comparative Study for Single Image Blind Deblurring (CVPR 2016)
X-ma/CycleGAN
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
X-ma/DeblurGAN
Image Deblurring using Generative Adversarial Networks
X-ma/deeplearning-models
A collection of various deep learning architectures, models, and tips
X-ma/ganhacks
starter from "How to Train a GAN?" at NIPS2016
X-ma/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
X-ma/iqt
Image Quality Transfer
X-ma/lddmm_in_100_lines
X-ma/Learning-from-data
记录Learning from data一书中的习题解答
X-ma/Learning-from-Data-Solutions
Repository of my solutions to the problems of "Learning from Data"
X-ma/machine-learning-books
book
X-ma/mcsd
MATLAB/Octave tool for Monte-Carlo simulations of diffusion in biological tissues
X-ma/md-dmri
MATLAB code for Multidimensional Diffusion MRI
X-ma/models
Models and examples built with TensorFlow
X-ma/multi-atlas-graph-labelling
Multi-Atlas Segmentation as a Graph Labelling Problem
X-ma/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
X-ma/sparse-coding
Parallel (asynchronous) sparse coding implementation for obtaining sparse overcomplete word vectors
X-ma/transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
X-ma/transferlearning-tutorial
《迁移学习简明手册》LaTex源码
X-ma/unet
unet for image segmentation
X-ma/UNet-family
Paper and implementation of UNet-related model.
X-ma/voxelmorph
Unsupervised Learning for Image Registration