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phase-recovery

Resources for phase recovery (also called phase imaging, phase retrieval, or phase reconstruction)

phycrnet

Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs

physics-based-3d-tomography-multi-slice-neural-network

Experiment demo for C.elegan.

ppg

Photoplethysmogram-based Real-Time Cognitive Load Assessment Using Multi-Feature Fusion Model

ppg-optical-bg

ppg2abp

psnr-ssim

pytorch_dann

An implementation of DANN with pytorch

r2a-net

classification

spatial-vae

Source code for "Explicitly disentangling image content from translation and rotation with spatial-VAE" - NeurIPS 2019

ss-panel-v3-mod_uim

基于ss-panel-v3-mod的 UI 修改版

ssl-sleep-staging

target-vae

Source code for "Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE," in pytorch. NeurIPS 2022

tbim

This repository shows the implementation of the Trained Born Iterative Method (TBIM) applied for electromagnetic imaging.

ultra-nerf

understanding-nn

Tensorflow tutorial for various Deep Neural Network visualization techniques

using-u-net-to-restore-reconstruct-fresnel-diffraction-images

I use U-net to reconstruct the fresnel diffraction images.

vesnet-rl

VesNet-RL: Simulation-based ReinforcementLearning for Real-World US Probe Navigation

vrep_yolov3_ddpg_pytorch

V-rep simulation experiment using yolov3 pytorch and DDPG

ynet

Y-Net: A Spatiospectral Dual-Encoder Networkfor Medical Image Segmentation (MICCAI 2022)