ml-tooling/ml-hub
🧰 Multi-user development platform for machine learning teams. Simple to setup within minutes.
This platform helps machine learning teams easily create, manage, and access multiple development environments, like Jupyter notebooks. It takes a base ML workspace configuration and allows administrators to distribute and manage personalized instances for their team members. This is ideal for machine learning engineers, data scientists, and team leads who need to provide consistent and controlled development environments for collaborative projects.
319 stars. No commits in the last 6 months.
Use this if you need to provide a shared, scalable environment for your data science or machine learning team to work on projects using tools like Jupyter notebooks, ensuring consistent setups and resource allocation.
Not ideal if you are a solo practitioner working on personal projects or if your team already has a robust, custom-built ML infrastructure.
Stars
319
Forks
68
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 23, 2021
Commits (30d)
0
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