Hai Shu's repositories
two-stage-VAE-Attention-gate-BraTS2020
2SCM-VAAG: A Two-Stage Cascade Model with Variational Autoencoders and Attention Gates for MRI Brain Tumor Segmentation (BraTS 2020 Challenge; BrainLes2020 paper)
awesome-multi-omics
List of software packages for multi-omics analysis
BDA_course_Aalto
Bayesian Data Analysis course at Aalto
BDA_R_demos
Bayesian Data Analysis demos for R
best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
deep-weight-prior
The Deep Weight Prior, ICLR 2019
gwas_scripts
Codebook from my GWAS cookbook
imputation
Imputation steps using the Michigan or Sanger imputation server.
mFI-PSO
This repo is the official implementation for Adversarial Image Generation and Training for Deep Neural Networks.
MitoImputePrep
Mitochondrial Impuration
openbreast
Digital mammography processing tools
SOTA-MedSeg
SOTA medical image segmentation methods based on various challenges
ts_ensemble_sunspot
XGBoost-DL: A XGBoost-based ensemble method that combines deep learning models for sunspot number prediction
xgboost-survival-embeddings
Improving XGBoost survival analysis with embeddings and debiased estimators