93 Open source projects that are alternatives of or similar to Garage

Short course on reproducible science: what, why, how

My nix configuration(s), using flakes. It's my laptop, it's my servers, it's my everything, in code.

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

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

Reproducibility for Humans: A lightweight tool to perform reproducible machine learning experiment.

Open source production model management tool for data scientists

A minimal example data analysis project with the targets R package

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

ukbREST: efficient and streamlined data access for reproducible research of large biobanks

Reproducible Data Science in Python (SciPy 2019 Tutorial)

Ten Years Reproducibility Challenge

Deploy a BinderHub from scratch on Microsoft Azure

Open solution to the Home Credit Default Risk challenge 🏡

Catalyst.Classification

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

Open solution to the Google AI Object Detection Challenge 🍁

Function-oriented Make-like declarative workflows for R

Reproducible Science: what, why, how

Open solution to the Santander Value Prediction Challenge 🐠

PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡

Execute and document benchmarks reproducibly.

Portable automation meta-framework to manage, describe, connect and reuse any artifacts, scripts, tools and workflows on any platform with any software and hardware in a non-intrusive way and with minimal effort. Try it using this tutorial to modularize and automate ML Systems benchmarking from the Student Cluster Competition at SC'22:

rrtools: Tools for Writing Reproducible Research in R

A Snakemake workflow for differential expression analysis of RNA-seq data with Kallisto and Sleuth.

🐶 🕵️ Great Dane turned Python environment detective

The Organization lesson for the Reproducible Science Curriculum

Coding Standards for the USC Biostats group

Workflow Description Language - Specification and Implementations

Template for using mlr3 with drake

Catalyst.Segmentation

restlessdata.com.au/ggtrack

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:

Reproducible Bayesian data analysis pipelines with targets and cmdstanr

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

Purely functional build system and package manager

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

Open Science, Open Data, Open Source

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.

my Linux Configuration

ML project template facilitating both research and production phases.

A collection of portable workflows, automation recipes and components for MLOps in a unified CK format. Note that this repository is outdated - please check the 2nd generation of the CK workflow automation meta-framework with portable MLOps and DevOps components here:

☁️ 🚀 📊 📈 Evaluating state of the art in AI

Capture all information throughout your model's development in a reproducible way and tie results directly to the model code!

an initiative to provide infrastructure for reproducible workflows around open data

Experiments logging & visualization

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

The collaboration workspace for Machine Learning

Examples and demos for ReproZip

Prepare reproducible R Markdown posters

Say the magic word 😸

Data Analysis Workflows & Reproducibility Learning Resources

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

🔨 Gitian Building made simpler on any Windows Debian/Ubuntu MacOS with Vagrant, lxc, and virtualbox

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

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

Example workflows for the drake R package

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

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

Presentation-Ready Data Summary and Analytic Result Tables

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