shu-hai

Pinned Repositories

3D_DenseSeg
The implementation of 3D_DenseSeg for infant brain MRI segmentation
Language:Python0 2 00
AD-ML
Framework for the reproducible classification of Alzheimer's disease using machine learning
Language:Python0 1 00
AJIVE_Project
This repository provides the AJIVE software in Matlab and all related Matlab scripts to reproduce the results in the paper Angle-basied Joint And Individual Variation Explained (Feng et.al., 2018). Please refer to README.md for instruction.
Language:MATLAB0 2 00
CDPA
CDPA: Common and Distinctive Pattern Analysis between High-dimensional Datasets (EJS-22 paper)
Language:Python7 2 03
D-CCA
A Decomposition-based Canonical Correlation Analysis for High-dimensional Datasets (JASA-20 paper)
Language:Python11 0 010
D-GCCA
Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data (JMLR-22 paper)
Language:Python5 2 01
FDRhmrf
A FDR controlling procedure based on hidden Markov random field (Biometrics-15 paper)
Language:C++4 0 00
SA_DNN
Sensitivity Analysis of Deep Neural Networks (AAAI-19 paper)
Language:Python11 2 25
SpatialCOVforTimeSeries
Estimation of Large Covariance and Precision Matrices from Temporally Dependent Observations (AOS-19 paper)
Language:R4 1 01
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)
Language:Python13 1 07

shu-hai's Repositories

shu-hai/SpatialCOVforTimeSeries
Estimation of Large Covariance and Precision Matrices from Temporally Dependent Observations (AOS-19 paper)
Language:R4 1 01
shu-hai/AJIVE_Project
This repository provides the AJIVE software in Matlab and all related Matlab scripts to reproduce the results in the paper Angle-basied Joint And Individual Variation Explained (Feng et.al., 2018). Please refer to README.md for instruction.
Language:MATLAB0 2 00
shu-hai/algorithms
Bug-tracking for Jeff's algorithms book, notes, etc.
shu-hai/bayes-by-backprop
PyTorch implementation of "Weight Uncertainty in Neural Networks"
Language:Jupyter Notebook
shu-hai/bayesian-machine-learning
Notebooks related to Bayesian methods for machine learning
Language:Jupyter Notebook1 0
shu-hai/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more
Language:Jupyter Notebook2 0
shu-hai/breast_density_classifier
Breast density classification with deep convolutional neural networks
Language:Python2 0
shu-hai/CS-Notes
:books: Computer Science Learning Notes
1 0
shu-hai/Deep-Learning-for-Medical-Applications
Deep Learning Papers on Medical Image Analysis
Language:TeX2 01
shu-hai/deep-mil-for-whole-mammogram-classification
Zhu, Wentao, Qi Lou, Yeeleng Scott Vang, and Xiaohui Xie. "Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification." MICCAI 2017.
Language:Python1 0
shu-hai/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Language:TeX1 01
shu-hai/GNNPapers
Must-read papers on graph neural networks (GNN)
2 01
shu-hai/graph_matching_tractograms
This is the code of the algorithm described in: Olivetti E, Sharmin N and Avesani P (2016) Alignment of Tractograms As Graph Matching. Front. Neurosci. 10:554. doi: 10.3389/fnins.2016.00554
Language:Python1 0
shu-hai/hoff-bayesian-statistics
R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"
Language:HTML1 0
shu-hai/LAP-solvers
Benchmarking Linear Assignment Problem Solvers
Language:Python
shu-hai/lapjv
Linear Assignmment Problem solver using Jonker-Volgenant algorithm - Python 3 native module.
Language:C++1 0
shu-hai/liftOverPlink
A wrapper for liftOver for converting plink genotype data between different genome reference builds
Language:Python1 0
shu-hai/LiteratureDL4Graph
2 0
shu-hai/machine-learning-course
:speech_balloon: Machine Learning Course with Python
Language:Python1 0
shu-hai/Machine-Learning-Study-Path-March-2019
A complete ML study path, focused on TensorFlow and Scikit-Learn
1 0
shu-hai/mahotas
Computer Vision in Python
Language:Python1 0
shu-hai/mammography-models
Machine learning models for analyzing mammograms
Language:Python2 0
shu-hai/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Language:Jupyter Notebook2 0
shu-hai/medical-data
2 01
shu-hai/munkres
Munkres algorithm for Python
Language:Python1 0
shu-hai/py-lapsolver
Fast linear assignment problem (LAP) solvers for Python based on c-extensions
Language:Python1 0
shu-hai/PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Language:Jupyter Notebook
shu-hai/pyvarinf
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
Language:Python1 0
shu-hai/shu-hai.github.io
Language:HTML1 0
shu-hai/SJTU-Courses
上海交通大学课程资料分享