ssikjeong1 Goto Github PK

ae_ssl_fmri

Inter-Regional High-level Relation Learning from Functional Connectivity via Self-Supervision - PyTorch Implementation (MICCAI 2021)

awesome-federated-learning-on-graph-and-gnn-papers

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

awesome-transformers-in-medical-imaging

A collection of resources on applications of Transformers in Medical Imaging.

c-pac

Configurable Pipeline for the Analysis of Connectomes

cvpr-2021-papers

deep_recurrent_ad

Deep Recurrent Model for Individualized Prediction of Alzheimer’s Disease Progression - PyTorch Implementation (NeuroImage 2021)

demun.github.io

demun의 깃헙페이지

devyurim.github.io

technology blog

ec_gcn

(Reproducibility) Identifying Resting-State Effective Connectivity Abnormalities in Drug-Naïve Major Depressive Disorder Diagnosis via Graph Convolutional Networks - TensorFlow Implementation (Human Brain Mapping, 2020)

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

explainable-artificial-intelligence_wsj

gjchoi.github.io

hd-bet

MRI brain extraction tool

hydejack-starter-kit

A quicker, cleaner way to get started blogging with Hydejack.

multi-view_ssl_fc

neuroscience-pipelineagreement

Analysis Code for Paper "Moving Beyond Processing and Analysis-Related Variation in Neuroscience"

nhp-brainextraction

personal_competition

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pg-brainbagnet

pytorch-maml-rl

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

research

ssikjeong1

ssikjeong1.github.io

stargan

StarGAN - Official PyTorch Implementation (CVPR 2018)

stargan-v2

StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

study

torch_study

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

voice-conversion-gan

Voice Conversion using Cycle GAN's For Non-Parallel Data