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bids-tools

Tools for dealing with neuroimaging data in the BIDS structure

bidscoin

Maps source-level neuroimaging data onto a BIDS data structure

braingraph

Graph theory analysis of brain MRI data

brainprep

Preprocessing pipeline on Brain MR Images through FSL and ANTs, including registration, skull-stripping, bias field correction, enhancement and segmentation.

canica

Canonical ICA for fMRI

chaos-game-representation-of-eeg-microstate

cinema

Confidence In Network Meta-Analysis

cnn-3d-images-tensorflow

3D image classification using CNN (Convolutional Neural Network)

cnn-interpretability

Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

deep_mri_brain_extraction

3D convolutional neural network for MRI brain extraction

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

delucs

This repository contains all the source files required to run DeLUCS, a deep learning clustering algorithm for DNA sequences.

engauge-digitizer

Extracts data points from images of graphs

fmri_mvpa

Multi-Voxel Pattern Analysis (whole-brain searchlight) using Support Vector Machine Classification & Regression

fmriprep

fMRIprep is a functional magnetic resonance image pre-processing pipeline that is designed to provide an easily accessible, state-of-the-art interface that is robust to differences in scan acquisition protocols and that requires minimal user input, while providing easily interpretable and comprehensive error and output reporting.

fmriprep_sbatch

FMRIPREP scripts with SLURM & rearrange data (BIDS).

ica-aroma

ICA-AROMA Software Package: a data-driven method to identify and remove head motion-related artefacts from functional MRI data.

jellyfish

🎐 a python library for doing approximate and phonetic matching of strings.

kover

Learn interpretable computational phenotyping models from k-merized genomic data

machine-learning-projects

Projects - ML Fall 2016 ETH: (i) age predction, (ii) health classification and (iii) multi-label prediction. All projects received as input MRI brain images.

mousemorph

Tools for MRI mouse brain morphometry

mripreprocessing

Batch scripts for processing MRI data for analyses for multiple platforms

mripy

A python based MRI reconstruction toolbox with compressed sensing, parallel imaging and machine-learning functions

nilearn

Machine learning for NeuroImaging in Python

nipy

Neuroimaging in Python FMRI analysis package

phenotypeseeker

Identify phenotype-specific k-mers and predict phenotype using sequenced bacterial strains

pyhrf

PyHRF is a set of tools to analyze fMRI data and specifically study hemodynamics.

resnet_cnn_mri_adni

Code for Residual and Plain Convolutional Neural Networks for 3D Brain MRI Classification paper

rl_learn

我的强化学习笔记和学习材料:book: still updating ... ...