867727390's Stars
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
weslynn/AlphaTree-graphic-deep-neural-network
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN),图神经网络(GNN),NLP,大数据相关的发展路书(roadmap), 并附海量源码(python,pytorch)带大家消化基本知识点,突破面试,完成从新手到合格工程师的跨越,其中深度学习相关论文附有tensorflow caffe官方源码,应用部分含推荐算法和知识图谱
pgmpy/pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
LeeJunHyun/Image_Segmentation
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
TrustAGI-Lab/Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
microsoft/tf-gnn-samples
TensorFlow implementations of Graph Neural Networks
nipreps/fmriprep
fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
Washington-University/HCPpipelines
Processing pipelines for the HCP
yujiali/ggnn
Gated Graph Sequence Neural Networks
Jfortin1/ComBatHarmonization
Harmonization of multi-site imaging data with ComBat
kavehhassani/mvgrl
quqixun/BrainPrep
Preprocessing pipeline on Brain MR Images through FSL and ANTs, including registration, skull-stripping, bias field correction, enhancement and segmentation.
Washington-University/workbench
Connectome Workbench
dominance-analysis/dominance-analysis
This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.
YaleMRRC/CPM
BMHLab/AHBAprocessing
frantisekvasa/rotate_parcellation
Code (in Matlab and R) to perform a spherical rotation (permutation) of a parcellated cortical map.
ahheckel/FSL-scripts
Script-framework using FSL, Freesurfer and AFNI functionality for automatization and high-throughput processing of MRI data in clustered environments.
IBIC/neuropointillist
Flexible modeling of neuroimaging data in R
MidnightScanClub/MSCcodebase
The Midnight Scanning Club Codebase
rtavenar/keras_shapelets
Efficient implementation of Learning Time-Series Shapelets using keras
ThomasYeoLab/Standalone_CBIG_fMRI_Preproc2016
netneurolab/abagen
A toolbox for working with Allen Human Brain Atlas microarray expression data
Tutorial-series/fmriprep_vincent_2020
The fmriprep tutorial@2020 by Qing Wang (Vincent).
poldrack/LatentStructure
code and data from Latent Structure modeling paper
macshine/integration
Code supporting 'The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance'
xhhszc/GANE
GANE: A Generative Adversarial Network Embedding
Mostafa-Ghazi/RPDPM
Robust Parametric Disease Progression Modeling
LREN-CHUV/MLM
Mulivariate analysis for Neuroimaging data.
EpiNeuroSurg/FCD_demo