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

Project description

Binder

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.

Discussions | Docs | Link SDK | Release Note | Website | Youtube | Technical Support

Usage Environment

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

Getting Started

We recommend installing our program in a new virtual environment.

Step 1. Install Link with the following command.

python3 -m pip install --upgrade mrx-link

Step 2. After installation, run JupyterLab.

python3 -m jupyterlab

If you wish to install it as a Desktop Application, please download from here.
And if you want to try Link on your browser, please click here.

Main Features

Pipeline Creation

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

pipeline_creation

Caching Management

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

caching_management

Remote Resources

Optimize the use of server resources by using separate resources for different pipeline components.

remote_resources

Hyper-Parameter Optimizer

Link provides a hyper-parameter feature, which works to find optimal hyper-parameters in an automated manner.

hpo_multiple_edited

Version Control

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

version_control

Link SDK

Link provides an SDK, where you can easily run the Link notebook file with the command line interface, and create, run, export pipelines with Python code. (Learn more)

link_sdk

Other Features

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

Examples

Help and Support

Team

Contributors

Project details


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mrx_link-1.2.0-cp310-cp310-win_amd64.whl (6.3 MB view hashes)

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Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

mrx_link-1.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (14.6 MB view hashes)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

mrx_link-1.2.0-cp310-cp310-macosx_11_0_arm64.whl (6.5 MB view hashes)

Uploaded CPython 3.10 macOS 11.0+ ARM64

mrx_link-1.2.0-cp310-cp310-macosx_10_15_x86_64.whl (6.5 MB view hashes)

Uploaded CPython 3.10 macOS 10.15+ x86-64

mrx_link-1.2.0-cp39-cp39-win_amd64.whl (6.3 MB view hashes)

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Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

mrx_link-1.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (14.6 MB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

mrx_link-1.2.0-cp39-cp39-macosx_11_0_arm64.whl (6.5 MB view hashes)

Uploaded CPython 3.9 macOS 11.0+ ARM64

mrx_link-1.2.0-cp39-cp39-macosx_10_15_x86_64.whl (6.5 MB view hashes)

Uploaded CPython 3.9 macOS 10.15+ x86-64

mrx_link-1.2.0-cp38-cp38-win_amd64.whl (6.3 MB view hashes)

Uploaded CPython 3.8 Windows x86-64

mrx_link-1.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB view hashes)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

mrx_link-1.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (15.4 MB view hashes)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

mrx_link-1.2.0-cp38-cp38-macosx_11_0_arm64.whl (6.5 MB view hashes)

Uploaded CPython 3.8 macOS 11.0+ ARM64

mrx_link-1.2.0-cp38-cp38-macosx_10_15_x86_64.whl (6.5 MB view hashes)

Uploaded CPython 3.8 macOS 10.15+ x86-64

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