107 Open source projects that are alternatives of or similar to rubicon-ml

Example workflows for the drake R package

☁️ 🚀 📊 📈 Evaluating state of the art in AI

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

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

Open solution to the Santander Value Prediction Challenge 🐠

Say the magic word 😸

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

Catalyst.Segmentation

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

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.

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

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

rrtools: Tools for Writing Reproducible Research in R

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

Presentation-Ready Data Summary and Analytic Result Tables

Workflow Description Language - Specification and Implementations

Open solution to the Home Credit Default Risk challenge 🏡

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:

Open source production model management tool for data scientists

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

Function-oriented Make-like declarative workflows for R

ML project template facilitating both research and production phases.

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

an initiative to provide infrastructure for reproducible workflows around open data

Execute and document benchmarks reproducibly.

Examples and demos for ReproZip

Reproducible Data Science in Python (SciPy 2019 Tutorial)

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

🐶 🕵️ Great Dane turned Python environment detective

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

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

The Organization lesson for the Reproducible Science Curriculum

Ten Years Reproducibility Challenge

Template for using mlr3 with drake

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

restlessdata.com.au/ggtrack

Catalyst.Classification

Reproducible Bayesian data analysis pipelines with targets and cmdstanr

Short course on reproducible science: what, why, how

Purely functional build system and package manager

Open solution to the Google AI Object Detection Challenge 🍁

Open Science, Open Data, Open Source

A minimal example data analysis project with the targets R package

my Linux Configuration

Reproducible Science: what, why, how

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:

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