NguyenNhan1992's repositories
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17个章节，20多万字。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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
-MDPI-Algorithms--Human-Activity-Recognition
Source code and results for paper "End-to-End Human Activity Recognition using Convolutional Neural Network and Center Loss"
-MDPI-Algorithms-Human-Activity-Recognition
Source code and results for paper "End-to-End Human Activity Recognition using Convolutional Neural Network and Center Loss"
100-Days-Of-ML-Code
100 Days of ML Coding
Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
advancedfmrianalysis2_2020spring
Course materials for 2019 Fall Advanced fMRI analysis methods
AnomalyDetectionUsingAutoencoder
Anomaly detection using Autoencoder implemented with Keras 2.
CS_MoCo_LAB
Compressed Sensing and Motion Correction LAB: An MR acquisition and reconstruction system
deepinpy
Deep inverse problems in Python
deeplearning-models
A collection of various deep learning architectures, models, and tips
fastmri-reproducible-benchmark
Try several methods for MRI reconstruction on the fastmri dataset. Home to the XPDNet, runner-up of the 2020 fastMRI challenge.
hallucinations-tomo-recon
Codes related to the paper "On hallucinations in tomographic imaging"
hyperpolarized-mri-toolbox
The goal of this toolbox is to provide open-source research-level and prototyping software tools for hyperpolarized MRI experiments. It is currently based on MATLAB/Octave code, and includes code for designing radiofrequency (RF) pulses, imaging gradients, data reconstruction, and data analysis. doi: 10.5281/zenodo.1198915
improved_wgan_training
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
Keras-GAN
Keras implementations of Generative Adversarial Networks.
keras_callbacks_example
Keras callback example
mrnet
Implementation of the paper: Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet
mvue-vs-rss-mri
The truth matters: A brief discussion on MVUE vs. RSS in MRI reconstruction
perf_dual_matlab
MATLAB reconstruction codes for the dual perfusion project. Methods: SENSE + temporal TV constraint. Algorithm: ADMM.
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
rrsg-arbitrary-sense
Repository for ISMRM Reproducible Research Study Group Challenge 2019
rrsg_challenge_sigpy
Sigpy implementation for ismrm challenge.
rrsgChallenge2019
My submission to the ISMRM reproducible research study group challenge 2019
shine
SHaring INverse Estimate
submission-scripts
All the submission scripts used for my work on Jean Zay and the TGCC
tf-fastmri-data
TensorFlow data pipelines for the fastMRI dataset
torchdata
PyTorch dataset extended with map, cache etc. (tensorflow.data like)
transparent_latent_gan
Use supervised learning to illuminate the latent space of GAN for controlled generation and edit
Unet-Segmentation-Pytorch-Nest-of-Unets
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet