Presentation-Ready Data Summary and Analytic Result Tables

🚀 Build and manage real-life ML, AI, and data science projects with ease!

A curated list of reproducible research case studies, projects, tutorials, and media

Lightweight function pipeline (DAG) creation in pure Python for scientific workflows 🕸️🧪

WfCommons: A Framework for Enabling Scientific Workflow Research and Development

Actively developed Hierarchical Temporal Memory (HTM) community fork (continuation) of NuPIC. Implementation for C++ and Python

Targets extensions for geospatial data

A platform for end-to-end development of machine learning solutions in biomedical imaging

A Python API for working with Neurodata stored in the NWB Format

This repository supports the World Bank's Reproducible Research Repository

Function-oriented Make-like declarative workflows for R

Citation manager support for GAP. This helps with citations for reports, papers, data, and presentations!

moai is a PyTorch-based AI Model Development Kit (MDK) created to improve data-driven model workflows, design and reproducibility.

Assessing the computational reproducibility of Johnson et al. 2021 as part of STARS.

A setup script to generate ITK Python Wheels

A DSL for data-driven computational pipelines

Programmable, reproducible, interactive documents

A curated list of awesome resources for science and academia.

BRAPH 2.0 is a comprehensive software package for the analysis and visualization of brain connectivity data, offering flexible customization, rich visualization capabilities, and a platform for collaboration in neuroscience research.

Assessing the computational reproducibility of Kim et al. 2021 as part of STARS.