1798857164's Stars
budai4medtech/xfetus
xfetus -- A library for ultrasound fetal imaging synthesis using techniques from GANs, transformers, and diffusion models.
Janspiry/Palette-Image-to-Image-Diffusion-Models
Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch
ProjectPhysX/FluidX3D
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL. Free for non-commercial use.
ImFusionGmbH/public-ultrasound-demos
Public Ultrasound Demos
magdalena-wysocki/ultra-nerf
Carmenliang/UI_synthesis
Platform for Synthesis Ultrasound Images
lllyasviel/ControlNet
Let us control diffusion models!
crowsonkb/k-diffusion
Karras et al. (2022) diffusion models for PyTorch
marinadominguez/diffusion-for-us-images
NVlabs/PWC-Net
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
m-richa/pwc-net
taey16/pix2pixBEGAN.pytorch
A pytorch implementation of pix2pix + BEGAN (Boundary Equilibrium Generative Adversarial Networks)
SongZ-PolyU/Synthetic-SMG-Dataset
Multi-task Synthetic SMG Dataset
camlab-ethz/AI_Science_Engineering
This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.
hzwer/Awesome-Optical-Flow
This is a list of awesome paper about optical flow and related work.
open-mmlab/mmflow
OpenMMLab optical flow toolbox and benchmark
ashiq24/UNO
XingangPan/DragGAN
Official Code for DragGAN (SIGGRAPH 2023)
goodfeli/adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
nasa/pigans-material-ID
yyyzzzhao/VEUS
code for ‘Virtual elastography ultrasound via generate adversarial network for breast cancer diagnosis’
amusi/CVPR2024-Papers-with-Code
CVPR 2024 论文和开源项目合集
neuraloperator/physics_informed
liruoteng/OpticalFlowToolkit
Python-based optical flow toolkit for existing popular dataset
tomrunia/OpticalFlow_Visualization
Python optical flow visualization following Baker et al. (ICCV 2007) as used by the MPI-Sintel challenge
NVIDIA/modulus
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
lululxvi/deepxde
A library for scientific machine learning and physics-informed learning