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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.

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.

image-classification-transfer-learning

Building ResNet152 Model for Image Classification with Small Dataset (95% accuracy) | Tensorflow 2.0

learning-pinns-in-pytorch-physics-informed-machine-learning

Physics informed Machine Learning tutorial (pytorch)

modulus

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

mri-superresolution

Deep Learning Project Utilizing GAN Architectures for Super-Resolution of MRI Images

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

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

pythonfiles

read_4d_flow

Python code for processing 4D flow dicoms and write velocity profiles for CFD simulations.

rescheduler

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.

spmc_videosr

Repository for Detail-revealing Deep Video Super-resolution https://arxiv.org/abs/1704.02738

sr-gans

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

srcnn-pytorch

PyTorch implementation of Image Super-Resolution Using Deep Convolutional Networks (ECCV 2014)

srcnn-tensorflow

Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3

tke-net

tutorial

vit

Algorithm of vision transformer

vp-autoencoder

Map Velocity to Pressure for arterial stenosis using CFD data by Autoencoder with Pytorch