nguyennhan999 Goto Github PK

3dbraingen

Official Pytorch Implementation of "Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Network" (accepted by MICCAI 2019)

3dunetcnn

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

accsgd

Implements pytorch code for the Accelerated SGD algorithm.

adam-optimizer-from-scratch

adaptivereconnet

Implementation of Adaptive ReconNet in Tensorflow.

adasoptimizer

ADAS is short for Adaptive Step Size, it's an optimizer that unlike other optimizers that just normalize the derivative, it fine-tunes the step size, truly making step size scheduling obsolete, achieving state-of-the-art training performance

amta-net

Asymmetric Multi-Task Attention Network for Prostate Bed Segmentation in CT Images

awesome-curriculum-learning

some bravo or inspiring research works on the topic of curriculum learning

blind_unmixing_nmf_ri

Matlab code to spectrally unmix highly mixed multispectral flow and image cytometry data

brain_segmentation

complex-networks-release

Implementation related to the paper "Complex-Valued Convolutional Neural Networks for MRI Reconstruction" by Elizabeth K. Cole et. al; Toolbox for complex-valued convolution and activation functions using an unrolled architecture.

complexpytorch

A high-level toolbox for using complex valued neural networks in PyTorch

cplxmodule

Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.

cs294-112_hws

My solution to assignments in UC Berkeley CS294-112: Deep Reinforcement Learning

csmri_0325

My personal work in CS-MRI

curriculum-dropout

Code for the paper "Curriculum Dropout", ICCV 2017

dce_direct_recon

Source codes for "Direct Estimation of Tracer-Kinetic Parameter Maps from Highly Undersampled Brain DCE-MRI", submitted to MRM

deep-nsnmf

deep_complex_networks

Implementation related to the Deep Complex Networks

deepinverse-reimplementation

Re-implements the DeepInverse

denoiseg

Joint training of denoising and segmentation.

dipnmf

Nonnegative Matrix Factorization with Deep Image Prior for Dynamic PET [ICCV2019]

dks

Deeply-supervised Knowledge Synergy (CVPR'2019)

easy-tensorflow

Simple and comprehensive tutorials in TensorFlow

edsr-pytorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

fastmri

A large-scale dataset of both raw MRI measurements and clinical MRI images

fourier_neural_operator

Use Fourier transform to learn operators in differential equations.

gradient-centralization-tensorflow

Instantly improve your training performance of TensorFlow models with just 2 lines of code!

graph-pde

Using graph network to solve PDEs

hfc

Implementation for the paper (CVPR Oral): High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks