vadori's Stars
CompVis/latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
lucidrains/denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
ZhendongWang6/Uformer
[CVPR 2022] Official implementation of the paper "Uformer: A General U-Shaped Transformer for Image Restoration".
yingkaisha/keras-unet-collection
The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.
Vooban/Smoothly-Blend-Image-Patches
Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.
maduc7/Histopathology-Datasets
Ressources of histopathology datasets
BiomedSciAI/histocartography
A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in computational pathology.
WeilunWang/semantic-diffusion-model
Official Implementation of Semantic Image Synthesis via Diffusion Models
explainingai-code/StableDiffusion-PyTorch
This repo implements a Stable Diffusion model in PyTorch with all the essential components.
StefanDenn3r/Unsupervised_Anomaly_Detection_Brain_MRI
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
layer6ai-labs/dgm-eval
Codebase for evaluation of deep generative models as presented in Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models
shchur/overlapping-community-detection
Implementation of "Overlapping Community Detection with Graph Neural Networks"
pcy1302/DMGI
Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)
juexinwang/scGNN
scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks
deezer/linear_graph_autoencoders
Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R. Hennequin, M. Vazirgiannis) + k-core framework implementation from IJCAI 2019 article "A Degeneracy Framework for Scalable Graph Autoencoders" (G. Salha, R. Hennequin, V.A. Tran, M. Vazirgiannis)
okunator/cellseg_models.pytorch
Encoder-Decoder Cell and Nuclei segmentation models
Thie1e/cutpointr
Optimal cutpoints in R: determining and validating optimal cutpoints in binary classification
lucamassarelli/Unsupervised-Features-Learning-For-Binary-Similarity
Code for the paper "Investigating Graph Embedding Neural Networks with Unsupervised Features Extraction for Binary Analysis"
xiaoyeye/CCST
Cell clustering for spatial transcriptomics data with graph neural network
TrustAGI-Lab/UDAGCN
Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.
RuiyingLu/HVQ-Trans
Code for "Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection" published in NeurIPS 2023
IMKBLE/MAGCN
cmavro/awesome-unsupervised-gnns
List of unsupervised (self-supervised) graph neural network (GNN) methods.
iolag/UPD_study
This repository contains code from our comparative study on state of the art unsupervised pathology detection and segmentation methods.
Monti03/GUCD
Implementation in TF2 of Community-Centric Graph Convolutional Network for Unsupervised Community Detection
lhaof/Nudiff
Diffusion-based Data Augmentation for Nuclei Image Segmentation (MICCAI 2023)
leoguti85/GraphEmbs
Unsupervised Network Embeddings for Graph Visualization, Clustering and Classification
GabMartino/TransformerForDummies
Annotated implementation of vanilla Transformers to guide through all the ambiguities.
sharpwei/GCN_sc_cluster
Single-cell clustering based on unsupervised graph similarity learning using graph convolution network
vadori/cytoark
Processing of histological data for cytoarchitecture analyses.