All-in-one web-based development environment for machine learning. The ML workspace is an all-in-one web-based IDE specialized for machine learning and data science. It is simple to deploy and gets you started within minutes to productively built ML solutions on your own machines. This workspace is the ultimate tool for developers preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch, Keras, Sklearn) and dev tools (e.g., Jupyter, VS Code, Tensorboard) perfectly configured, optimized, and integrated. Usable as remote kernel (Jupyter) or remote machine (VS Code) via SSH. Easy to deploy on Mac, Linux, and Windows via Docker. Jupyter, JupyterLab, and Visual Studio Code web-based IDEs.By default, the workspace container has no resource constraints and can use as much of a given resource as the host’s kernel scheduler allows.

Features

  • Jupyter, JupyterLab, and Visual Studio Code web-based IDEs
  • Pre-installed with many popular data science libraries & tools
  • Full Linux desktop GUI accessible via web browser
  • Seamless Git integration optimized for notebooks
  • Integrated hardware & training monitoring via Tensorboard & Netdata
  • Access from anywhere via Web, SSH, or VNC under a single port

Project Samples

ML workspace Screenshot 1

Project Activity

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Categories

Integrated Development Environments (IDE), Machine Learning, Data Science

License

Apache License V2.0

Follow ML workspace

ML workspace Web Site

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Integrated Development Environments (IDE), Python Machine Learning Software, Python Data Science Tool

Registered

2022-07-12
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