bishalth01

DSAM

Dynamic SpatioTemporal Attention Model

SCGT

Self Clustering Graph Transformers to model the graphs that has sub-networks, allowing the attention mechanism to be different for each cluster.

SailentGrads

Brain-ROI-Aware-Graph-Isomorphism-Networks-BrainRGIN-

Extending from the existing graph convolution networks, our approach incorporates a clustering-based embedding and graph isomorphism network method in the graph convolutional layer to reflect nature of the brain sub-network organization and efficient expression, in combination with TopK pooling and attention-based readout functions.

NeuroImageDistTraining

Training distributed sparse neural network for structural MRI data

coinstac_sparse_gradients

Distributed Neural Network training with sparse gradients

sparse-dinunet-implementation

dinunet_implementations

Template for Distributed Neural Net. Works with Freesurfer volumetric data by default but can be extended to work with any other dataset

SpatioTemporalGNNBrain

Spatio-temporal graph neural networks for brain

Brain_Age_Prediction

Prediction of Age using Brain Images using Deep Learning models

Variational-Autoencoders

Custom Variational Autoencoders implementation for MNIST

Generative-Adversarial-Networks-GANs-Implementation-on-MNIST

Custom GANs implementation for MNIST

pytorch_sparse

PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

vision

Datasets, Transforms and Models specific to Computer Vision

microsoft_DeepGNN

DeepGNN is a framework for training machine learning models on large scale graph data.

bishalth01

Config files for my GitHub profile.

Interpretable-Graph-Neural-Networks

Interpretable graph neural networks for fMRI data

coinstac

Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation

coinstac_sparse_dinunet

microsoft-AdaGNN

Open-source code for ''Graph Neural Networks with Adaptive Frequency Response Filter''.

Single-shot-pruning-Neural-Network

graphSAGE-pytorch

A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.

Graph-Attention-Networks

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

spatio-temporal-brain

A Deep Graph Neural Network Architecture for Modelling Spatio-temporal Dynamics in rs-fMRI Data

coinstac-ssr-fsl

Coinstac Code for Single-Shot Regression (ssr) on FreeSurfer Data

early-stopping-pytorch

Early stopping for PyTorch

FedDC

An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"

mama

BrainGNN_Pytorch

A preliminary implementation of BrainGNN

GMT

Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)