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3d_denseseg

The implementation of 3D_DenseSeg for infant brain MRI segmentation

ad-ml

Framework for the reproducible classification of Alzheimer's disease using machine learning

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.

algorithms

Bug-tracking for Jeff's algorithms book, notes, etc.

awesome-multi-omics

List of software packages for multi-omics analysis

bayes-by-backprop

PyTorch implementation of "Weight Uncertainty in Neural Networks"

bayesian-machine-learning

Notebooks related to Bayesian methods for machine learning

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more

bayesian_dense

Bayesian Weight Uncertainty Dense Layer for Keras

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.

bitr-unet

This repo is the source code for [BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor Segmentation].

brats-segmentation-challenge

breast_density_classifier

Breast density classification with deep convolutional neural networks

breast_segment

Fully automated breast segmentation on Mammographies.

cdpa

CDPA: Common and Distinctive Pattern Analysis between High-dimensional Datasets (EJS-22 paper)

clinica

Software platform for clinical neuroimaging studies

crfasrnn_keras

CRF-RNN Keras/Tensorflow version

cs-notes

:books: Computer Science Learning Notes

d-cca

A Decomposition-based Canonical Correlation Analysis for High-dimensional Datasets (JASA-20 paper)

d-gcca

Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data (JMLR-22 paper)

deep-learning-for-medical-applications

Deep Learning Papers on Medical Image Analysis

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

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.

deep-weight-prior

The Deep Weight Prior, ICLR 2019

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[email protected] 版权所有，违权必究 Tan 2018.06

demo-gwas

A demonstration of reproducing the analysis from a genome wide association study (GWAS)

dense3dcrf

Fully-connected (dense) 3D CRF for processing biomedical scans

dmchallenge

The Digital Mammography DREAM Challenge