bishalth01 Goto Github PK

bishalth01

Config files for my GitHub profile.

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.

brain_age_prediction

Prediction of Age using Brain Images using Deep Learning models

braingnn_pytorch

A preliminary implementation of BrainGNN

coinstac

Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation

coinstac-ssr-fsl

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

coinstac_sparse_dinunet

coinstac_sparse_gradients

Distributed Neural Network training with sparse gradients

dinunet_implementations

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

early-stopping-pytorch

Early stopping for PyTorch

feddc

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

generative-adversarial-networks-gans-implementation-on-mnist

Custom GANs implementation for MNIST

gmt

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

graph-attention-networks

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

graphsage-pytorch

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

interpretable-graph-neural-networks

Interpretable graph neural networks for fMRI data

liftoverplink

A wrapper for liftOver for converting plink genotype data between different genome reference builds

mama

microsoft-adagnn

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

microsoft_deepgnn

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

neuroimagedisttraining

Training distributed sparse neural network for structural MRI data

pytorch_sparse

PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

resnet18-on-cifar-10

In this repository I have applied Resnet18 Architecture on CIFAR-10 Dataset

sailentgrads

scgt

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

single-shot-pruning-neural-network

sparse-dinunet-implementation

spatio-temporal-brain

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

spatiotemporalgnnbrain

Spatio-temporal graph neural networks for brain

split_cifar-10

Split CIFAR-10 dataset.