suyuwei-0131

suyuwei-0131's Stars

• NingMiao/InteL-VAEs

  Codes for paper <InteL-VAEs: Adding Inductive Biases to VariationalAuto-Encoders via Intermediary Latents>.

  Language:Python194

• zotero-chinese/styles

  中文 CSL 样式

  Language:XML5.2k842

• UTHSCSA-NAL/connectomes_harmonization

  Connectomes harmonization

  Language:Python4

• epigenelabs/pyComBat

  pyComBat is a Python 3 implementation of ComBat, one of the most widely used tool for correcting technical biases, called batch effects, in microarray expression data.

  Language:Python7823

• lucidrains/vit-pytorch

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

  Language:Python21.3k3.1k

• Jfortin1/ComBatHarmonization

  Harmonization of multi-site imaging data with ComBat

  Language:R269108

• ThomasYeoLab/CBIG

  Language:MATLAB616391

• canlab/Neuroimaging_Pattern_Masks

  Brain signature patterns, atlases of regions, and meta-analysis masks for neuroimaging data analysis.

  Language:HTML11045

• locuslab/TCN

  Sequence modeling benchmarks and temporal convolutional networks

  Language:Python4.2k884

• PennLINC/keller-networks

  Code/documentation for the project on personalized networks/gradients, executive function, and early life adversity

  Language:MATLAB3

• hmlicas/Collaborative_Brain_Decomposition

  Language:MATLAB227

• ZaixuCui/pncSingleFuncParcel

  Codes for the project "development of functional topography"

  Language:MATLAB192

• mingruixia/MDD_ConnectomeGradient

  Language:MATLAB208

• rmarkello/pyls

  A Python implementation of Partial Least Squares (PLS) decomposition

  127

• libilab/rsfMRI-VAE

  Pytorch implementation of 'Representation Learning of Resting State fMRI with Variational Autoencoder'

  Language:Python2713

• neuropm-lab/svd_pls

  matlab code for pls cross correlation

  Language:MATLAB1

• Warvito/Normative-modelling-using-deep-autoencoders

  Normative modelling using deep autoencoders: a multi-cohort study on mild cognitive impairment and Alzheimer’s disease

  Language:Jupyter Notebook266

• alawryaguila/normativecVAE

  Language:Python9

• wangdedi1997/Disentanglement-Beta-FactorVAE

  Language:Python11

• elda27/FactorVAE

  A Tensorflow 2.0 implementation of FactorVAE

  Language:Jupyter Notebook2

• nicolasigor/FactorVAE

  A TensorFlow implementation of FactorVAE, proposed in "Disentangling by Factorising" by Kim et al.

  Language:Python73

• 1Konny/FactorVAE

  Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

  Language:Python26448

• MRCIEU/PHESANT

  PHESANT - PHEnome Scan ANalysis Tool (pheWAS, Mendelian randomisation (MR)-pheWAS etc.) in UK Biobank

  Language:R13968

• SuperBruceJia/EEG-Motor-Imagery-Classification-CNNs-TensorFlow

  EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow

  Language:Python21148

• sccnlab/pub-CVAE-MRI-ASD

  Code and materials for paper "Contrastive machine learning reveals the structure of neuroanatomical variation within Autism"

  Language:Jupyter Notebook135

• abidlabs/contrastive_vae

  Contrastive Variational Autoencoders

  Language:Jupyter Notebook628

• ANTsX/ANTsPy

  A fast medical imaging analysis library in Python with algorithms for registration, segmentation, and more.

  Language:Python664165

• Washington-University/HCPpipelines

  Processing pipelines for the HCP

  Language:Shell546272