Pinned Repositories
4D-flow-Project
4DFlowNet
Super Resolution 4D Flow MRI using Residual Neural Network
4DFlowNetv2
Refined adaptation of Super Resolution 4D Flow MRI using Residual Neural Network
a-picture-is-worth-a-1000-words
I am trying to describe complex matters in simple doodles!
BasicSR
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
codespaces
convert-H5-to-CSV
course
CS-Tutorial
DCLS-SR
Official PyTorch implementation of the paper "Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.
kazemiakk's Repositories
kazemiakk/4D-flow-Project
kazemiakk/4DFlowNet
Super Resolution 4D Flow MRI using Residual Neural Network
kazemiakk/4DFlowNetv2
Refined adaptation of Super Resolution 4D Flow MRI using Residual Neural Network
kazemiakk/a-picture-is-worth-a-1000-words
I am trying to describe complex matters in simple doodles!
kazemiakk/BasicSR
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
kazemiakk/codespaces
kazemiakk/convert-H5-to-CSV
kazemiakk/course
kazemiakk/CS-Tutorial
kazemiakk/DCLS-SR
Official PyTorch implementation of the paper "Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.
kazemiakk/EDVR-Super_Resolution-
Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks. EDVR has been merged into BasicSR and this repo is a mirror of BasicSR.
kazemiakk/Image-Classification-Transfer-Learning
Building ResNet152 Model for Image Classification with Small Dataset (95% accuracy) | Tensorflow 2.0
kazemiakk/Learning-PINNs-in-Pytorch-Physics-Informed-Machine-Learning
Physics informed Machine Learning tutorial (pytorch)
kazemiakk/modulus
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
kazemiakk/Physics-Informed-Deep-Learning-Solid-and-Fluid-Mechanics
Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube problems and plane stress linear elasticity boundary value problems
kazemiakk/PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
kazemiakk/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
kazemiakk/PythonFiles
kazemiakk/Read_4D_Flow
Python code for processing 4D flow dicoms and write velocity profiles for CFD simulations.
kazemiakk/Rescheduler
kazemiakk/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
kazemiakk/SPMC_VideoSR
Repository for Detail-revealing Deep Video Super-resolution https://arxiv.org/abs/1704.02738
kazemiakk/SR-GANs
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
kazemiakk/SRCNN-pytorch
PyTorch implementation of Image Super-Resolution Using Deep Convolutional Networks (ECCV 2014)
kazemiakk/SRCNN-Tensorflow
Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3
kazemiakk/TKE-Net
kazemiakk/Tutorial
kazemiakk/ViT
Algorithm of vision transformer
kazemiakk/VP-AutoEncoder
Map Velocity to Pressure for arterial stenosis using CFD data by Autoencoder with Pytorch
kazemiakk/wss_mri_calculator
Wall shear stress (WSS) calculation for 4D Flow MRI