149 Open source projects that are alternatives of or similar to narps

Learn Nipype with these tutorial notebooks - go here to see them online -->

The Accelerator is a tool for fast and reproducible processing of large amounts of data.

Coordinate- and image-based meta-analysis in Python

Tools for computation on batch systems

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Deep Reinforcement Learning (DRL) agents applied to medical images

FSL-R Interface package

Lightweight, Python library for fast and reproducible experimentation 🔬

Slicer extensions index

R Package 📦 for initializing projects for various R activities 🔩

3D Visualization of Brain MRI

A comparison between some VPS providers. It uses Ansible to perform a series of automated benchmark tests over the VPS servers that you specify. It allows the reproducibility of those tests by anyone that wanted to compare these results to their own. All the tests results are available in order to provide independence and transparency.

Brain Imaging Analysis Kit

A Reproducible Data Analysis Workflow with R Markdown, Git, Make, and Docker

MATLAB / Octave tools for BIDS datasets

An R-focused pipeline toolkit for reproducibility and high-performance computing

Multi-platform, free open source software for visualization and image computing.

Reproduce research from paper "Predicting the direction of stock market prices using random forest"

BIDScoin converts your source-level neuroimaging data to BIDS

Example workflows for the drake R package

normalize the intensity of several MR image contrasts with various routines

TensorHub is a library built on top of TensorFlow 2.0 to provide simple, modular and repeatable abstractions to accelerate deep learning research.

Code and data for Zhang, Lengersdorff et al. (2020)

Open solution to the Santander Value Prediction Challenge 🐠

Workflows and interfaces for neuroimaging packages

Curated set of transformers that make your work with steppy faster and more effective 🔭

Reorganising NIfTI files from dcm2niix into the Brain Imaging Data Structure

This is the development home of the workflow management system Snakemake. For general information, see

Short course on the targets R package

Render bits of R code for sharing, e.g., on GitHub or StackOverflow.

Framework for the reproducible processing of neuroimaging data with deep learning methods

rrtools: Tools for Writing Reproducible Research in R

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

Presentation-Ready Data Summary and Analytic Result Tables

MATLAB/Octave GIfTI Library

Open solution to the Home Credit Default Risk challenge 🏡

TE-dependent analysis of multi-echo fMRI

Open source production model management tool for data scientists

Method container for computational neuroscience on brains.

Function-oriented Make-like declarative workflows for R

fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

Software Papers as Software Modules: Towards a Culture of Reusable Results

NeuroInformatics Database

Execute and document benchmarks reproducibly.

Automated Quality Control and visual reports for Quality Assessment of structural (T1w, T2w) and functional MRI of the brain

Reproducible Data Science in Python (SciPy 2019 Tutorial)

Graph theory analysis of brain MRI data

🐶 🕵️ Great Dane turned Python environment detective

Multi-platform, free open source software for visualization and image computing.

Synchronize your working directory efficiently to a remote place without committing the changes.

A set of BIDS compatible datasets with empty raw data files that can be used for writing lightweight software tests.

Ten Years Reproducibility Challenge

A list of tutorials and other resources useful to learn open science and neuroimaging, EEG and MEG

Create highly reproducible python environments

A framework for developing neural network models for 3D image processing.

creating optimal conditions for reproducibility

A curated list of awesome deep learning applications in the field of neurological image analysis

Deep Learning Toolkit for Medical Image Analysis

Probabilistic Threshold-Free Cluster Enhancement of Neuroimages

Container-native task automation engine.