93 Open source projects that are alternatives of or similar to Dna Seq Gatk Variant Calling

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

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

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

Open source production model management tool for data scientists

Short course on reproducible science: what, why, how

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

Reproducible Data Science in Python (SciPy 2019 Tutorial)

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

NOTE: This repo is archived. Please see https://github.com/benmarwick/rrtools for my current approach

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

Open solution to the Home Credit Default Risk challenge 🏡

A minimal example data analysis project with the targets R package

Example workflows for the drake R package

Function-oriented Make-like declarative workflows for R

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.

Execute and document benchmarks reproducibly.

Open solution to the Santander Value Prediction Challenge 🐠

🐶 🕵️ Great Dane turned Python environment detective

Lightweight, Python library for fast and reproducible experimentation 🔬

Ten Years Reproducibility Challenge

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

Catalyst.Classification

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

Open solution to the Google AI Object Detection Challenge 🍁

rrtools: Tools for Writing Reproducible Research in R

Workflow Description Language - Specification and Implementations

my Linux Configuration

A toolkit for reproducible reinforcement learning research.

Collective Knowledge framework (CK) helps to organize black-box research software as a database of reusable components and micro-services with common APIs, automation actions and extensible meta descriptions. See real-world use cases from Arm, General Motors, ACM, Raspberry Pi foundation and others:

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

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

☁️ 🚀 📊 📈 Evaluating state of the art in AI

ML project template facilitating both research and production phases.

Automation and Make

an initiative to provide infrastructure for reproducible workflows around open data

🦉Data Version Control | Git for Data & Models | ML Experiments Management

Examples and demos for ReproZip

This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.

A set of tools for R that enhance reproducibility beyond package management

Say the magic word 😸

Unofficial Implementation of ECANets (CVPR 2020) for the Reproducibility Challenge 2020.

An R package to enable reproducible data processing, packaging and sharing.

The Organization lesson for the Reproducible Science Curriculum

Catalyst.Segmentation

Template for using mlr3 with drake

VisTrails is an open-source data analysis and visualization tool. It provides a comprehensive provenance infrastructure that maintains detailed history information about the steps followed and data derived in the course of an exploratory task: VisTrails maintains provenance of data products, of the computational processes that derive these products and their executions.

restlessdata.com.au/ggtrack

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

Reproducible Bayesian data analysis pipelines with targets and cmdstanr

project page for creating a guide to reproducible research

Purely functional build system and package manager

LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.

Open Science, Open Data, Open Source

Implementation of SCP-010.

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

Tools for computation on batch systems

Deep Reinforcement Learning (DRL) agents applied to medical images

R Package 📦 for initializing projects for various R activities 🔩

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

Presentation-Ready Data Summary and Analytic Result Tables