NguyenNhan999's repositories
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
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
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.
DenoiSeg
Joint training of denoising and segmentation.
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
keras-io
Keras documentation, hosted live at keras.io
MICCAI-OpenSourcePapers
MICCAI 2020 Open Source Papers
MIScnn
A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
mlnmf
Multilayer Nonnegative Matrix Factorization
MRI-education-resources
Resources for learning the principles of magnetic resonance imaging (MRI)
mtan
The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].
nmf_tfp
Implementation of Bayesian Non-negative Matrix Factorization using Variational Inference with TensorFlow Probability
PlotNeuralNet
Latex code for making neural networks diagrams
probabilistic_unet
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
pyprobml
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
RCM
The official repository (in PyTorch) for the ECCV 2020 paper "Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference".
Reproducible-Deep-Compressive-Sensing
Collection of reproducible deep learning for compressive sensing
ssnmf
SSNMF models and multiplicative update methods.
stationary-activations
Codes for 'Stationary Activations for Uncertainty Calibration in Deep Learning' (NeurIPS 2020)
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
tensorly
TensorLy: Tensor Learning in Python.
tf-explain
Interpretability Methods for tf.keras models with Tensorflow 2.x