revodavid / RMLops
MLOps with R and Azure Pipelines
☆38Updated 4 years ago
Alternatives and similar repositories for RMLops:
Users that are interested in RMLops are comparing it to the libraries listed below
- ☆38Updated 4 years ago
- ☆16Updated 5 years ago
- Resources for Machine Learning Operations with R☆41Updated 4 years ago
- Interface to Azure Resource Manager: authenticate, get subscriptions, get resource groups. Submit issues and PRs at https://github.com/Az…☆19Updated last year
- Tidy Data Validation Reports☆31Updated 2 years ago
- Sample files for SSH + BasicAuth docker tutorial☆10Updated 4 years ago
- Example workflows for the drake R package☆56Updated 3 years ago
- Instructions for installing and configuring a data science lab.☆18Updated 3 years ago
- R at Microsoft☆19Updated 4 years ago
- ☆44Updated 3 years ago
- ☆38Updated 5 years ago
- TensorFlow with R☆46Updated 3 years ago
- e-Rum2020::A Unified Approach For Writing Automatic Reports☆20Updated 4 years ago
- Plumber ML Model deployment example☆44Updated 4 years ago
- https://mastering-shiny-solutions.org☆19Updated 2 years ago
- The repository contains case studies contributed from companies and individuals, who are implementing a risk-based approach to validate R…☆24Updated 2 years ago
- Slides and code for the 2018 useR! tutorial "Recipes for Data Processing"☆30Updated 6 years ago
- Presentations for Madrid R conference☆24Updated 5 years ago
- Example of turning apps to golem☆45Updated 5 years ago
- Material for the Explainable Machine Learning Workshop☆18Updated 5 years ago
- R package for easy creation of GNU Makefiles to aid a reproducible work flow for data analysis projects.☆39Updated 4 years ago
- Fast and Easy Data Cleaning (in R)☆32Updated last month
- Honest calibration assessment for binary outcome predictions☆11Updated 2 years ago
- 🐹🐹🐹 Creates a Friendly User Interface for Emails Sending in Shiny and RMarkdown☆22Updated 4 years ago
- Companion Package for JavaScript for Shiny Users☆54Updated last year
- Read Tables from Stack Overlow Questions into R☆22Updated 5 years ago
- Enables data scientists to compose pipelines of analysis which consist of data manipulation, exploratory analysis & reporting, as well as…☆28Updated 4 years ago
- Seamlessly design robust 'shiny' extensions☆52Updated 9 months ago
- Talk about the usethis R package at useR! 2019 Toulouse☆30Updated 5 years ago
- A framework for providing interactive interpretations and explanations of statistical results☆24Updated 4 years ago