mrx-link 0.8.2

A simple AI/ML modeling tool, Link™ ensures a smoother flow and a better experience throughout the model development cycle.

Link

A simple AI/ML modeling tool developed as an extension of JupyterLab, Link ensures a smoother flow and a better experience throughout the model development cycle.

Usage Environment

Supported Platform	Linux (AMD64, ARM64) / macOS (Intel, Apple Silicon) / Windows
Python Version	3.7, 3.8, 3.9, 3.10
Requirements	Git

Getting Started

We recommend installing our program in a new virtual environment.

If you wish to install it as a Desktop Application, please download from here.

Step 1. Request a Product Key here.

Step 2. Install Link with the following command.

python3 -m pip install mrx-link

Step 3. After installation, run JupyterLab.

python3 -m jupyterlab

Step 4. On JupyterLab, enter your email address and the issued Product Key to activate Link.

Main Features

Pipeline Creation

Create a pipeline with notebook cells to improve code readability and reproducibility.

Version Control

Link provides a version control feature, where you can easily view changes to your pipeline and merge conflicts.

Caching Management

Store execution results for respective cells to minimize redundant cell executions.

Other Features

• Convert your pipelines to Kubeflow (.yaml) pipelines.
• Convert your components to executable Python code.

Help and Support

• Product Page : https://link.makinarocks.ai
• Official Documentation : https://makinarocks.gitbook.io/link/
• Release Notes : https://makinarocks.gitbook.io/link/version-history/release-notes
• Technical Support : Contact Technical Support for any questions or issues

Team

• Eunyoo Byeon (@EunyooByeon)
• Woojin Cha (@Xena123kiki)
• Hwiyeon Cho (@hwyncho)
• Jungmin Park (@jungminpark1234)
• Daesung Kim (@JakeisDaeSung)
• Hongji Kim (@HongJi-Kim)
• Hoonchel Shin (@hunhoon21)
• Sangwoo Shim (@borishim)
• Yongjin Shin (@YongjinShin306)
• Hyeonseok Shin (@hyeonseok)
• Ryeong Yi (@ryeongYi)

Contributors

• Byoungwan Kim (@bwkim71)
• Hwan Chang (@aiworld-git)