Pengfei GU's repositories
PVIS22-S2V
PyTorch implementation for "Scalar2Vec: Translating Scalar Fields to Vector Fields via Deep Learning"
DeepLab-v3-plus-cityscapes
mIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).
pytorch-topological
A topological machine learning framework based on PyTorch
3D_Critical_Points_Detector
Critical Points Calculator Modules for ISURE Program
Awesome-Self-Supervised-Papers
Paper bank for Self-Supervised Learning
CGA21-VFR
PyTorch implementation for "Reconstructing Unsteady Flow Data From Representative Streamlines via Diffusion and Deep-Learning-Based Denoising"
CMT_CNN-meet-Vision-Transformer
A PyTorch implementation of CMT based on paper CMT: Convolutional Neural Networks Meet Vision Transformers.
ConTNet
This repo contains the code of "ConTNet: Why not use convolution and transformer at the same time?"
CoTr
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation
DMT_loss
DMT codes for the ICLR 2021 paper: Topology-Aware Segmentation Using Discrete Morse Theory
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Image_Segmentation
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
med2image
Converts medical images to more displayable formats, e.g. NIfTI to jpg.
Medical-Transformer
Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"
MONAI
AI Toolkit for Healthcare Imaging
pytorch-loss
label-smooth, amsoftmax, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
SHAPR_torch
SHAPR: Code for "Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction"
TMI_multi-contrast-registration
A coarse-to-fine deformable transformation framework for unsupervised multi-contrast MR image registration with dual consistency constraint
topograd
Topological Priors for Image segmentation
topological-autoencoders
Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.
TopoLoss
C++ topological loss code for the NeurIPS 2019 paper: Topology-Preserving Deep Image Segmentation
unet_hippocampus
implementation of basic Unit, including data preprocessing, data_loader, and etc.
unetr_plus_plus
UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation