Alternatives and similar repositories for DGMM

Users that are interested in DGMM are comparing it to the libraries listed below

• largeapp / Brain-Image-Analysis
  Paper list and resources on machine learning for brain image (e. g. fMRI and sMRI) analysis.
  ☆68Updated 9 months ago
• lebowang-ucr / cGCN_fMRI
  Graph Convolution Network for fMRI Analysis Based on Connectivity Neighborhood
  ☆54Updated last year
• xxlya / PRGNN_fMRI
  Pytorch implementation of pooling-regularized GNN (PRGNN) for fMRI analysis. https://arxiv.org/pdf/2007.14589.pdf
  ☆35Updated 5 years ago
• elgazzarr / fMRIGNNs
  Benchmarking GNNs for fMRI analysis
  ☆25Updated 3 years ago
• nicofarr / brainnetcnnVis_pytorch
  Pytorch implementation of BrainNetCNN (Kawahara et al. 2016) + visualization method
  ☆31Updated 7 years ago
• MRegina / connectome_conv_net
  Connectome-convolutional neural netvork for connectivity-based classificatin
  ☆37Updated 6 years ago
• tjiagoM / spatio-temporal-brain
  A Deep Graph Neural Network Architecture for Modelling Spatio-temporal Dynamics in rs-fMRI Data
  ☆55Updated 3 years ago
• kundaMwiza / fMRI-site-adaptation
  Improving autism identification with multisite data via site-dependence minimisation and second-order functional connectivity (TMI, 2022)
  ☆38Updated 2 years ago
• zzstefan / BrainNetClass
  ☆82Updated 4 years ago
• icon-lab / BolT
  Fused Window Transformers for fMRI Time Series Analysis (https://www.sciencedirect.com/science/article/pii/S1361841523001019)
  ☆35Updated 2 years ago
• Owen-Yang-18 / BrainNN-PreTrain
  Implementations for CHIL 2023 paper ''PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis'' and KDD 2022 paper ''Data-Effici…
  ☆20Updated 2 years ago
• pcdslab / ASD-DiagNet
  ☆32Updated last year
• LarryUESTC / GATE
  ☆23Updated 3 years ago
• basiralab / HCAE
  HCAE (HyperConnectome AutoEncoder) for brain state identification.
  ☆16Updated 5 years ago
• anoop23IISc / BrainNetworks
  Graph Convolutional Neural Networks for Alzheimer’s Classification with transfer learning and HPC methods
  ☆12Updated 4 years ago
• surajkra / Machine-learning-based-classification-of-Schizophrenic-and-Healthy-control-Using-Resting-State-fMRI
  My Bachelor's Thesis on Automated Classification of Schizophrenic from Healthy subjects by analyzing Resting State Networks using Machine…
  ☆15Updated 6 years ago
• Wayfear / FBNETGEN
  ☆44Updated 3 years ago
• KamalakerDadi / benchmark_rsfMRI_prediction
  Minimal scripts available for predictions on multiple datasets
  ☆52Updated 7 years ago
• GonyRosenman / TFF
  an end to end framework for analyzing fMRI time-series data (4D) using transformers
  ☆50Updated 3 years ago
• HennyJie / IBGNN
  MICCAI 2022 (Oral): Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis
  ☆65Updated 2 years ago
• brainhack-school2020 / abide-fmri
  Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.
  ☆44Updated last year
• furtherAdu / BrainNetCNN_Personality
  Personality prediction from Human Connectome Project fMRI data using BrainNetCNN deep learning model (Kawahara et al. 2016). Project with…
  ☆14Updated 5 years ago
• ogrisel / eegssl
  Experiments on Self-Supervised Learning on EEG data
  ☆19Updated 5 years ago
• zhangyu2ustc / GCN_fmri_decoding
  Brain decoding using graph convolutional network on fMRI time-series
  ☆40Updated 6 years ago
• jeremykawahara / ann4brains
  Artificial neural networks for brain networks
  ☆79Updated 5 years ago
• meeg-ml-benchmarks / brain-age-benchmark-paper
  M/EEG brain age benchmark paper
  ☆29Updated 2 years ago
• xuesongwang / Contrastive-Functional-Connectivity-Graph-Learning
  ☆19Updated 3 years ago
• sgadgil6 / cnslab_fmri
  CNS (Computational Neuroscience) Lab project for age/sex classification of fMRI scans
  ☆90Updated 3 years ago
• parisots / gcn
  Implementation of Graph Convolutional Networks in TensorFlow
  ☆12Updated 8 years ago
• rushikesh12 / Graph-Classification-on-Brain-using-GCN
  Utlizied brain's structural & functional connectivity to classify subjects using Graph Convolution Networks.
  ☆12Updated 5 years ago