🤖
Machine Learning Workstation
  • Main page
  • Connection
    • Connection through VPN
  • Usage
    • Python/Conda
    • Edge Impulse
    • Common packages
    • Tmux (persistent sessions)
    • Sharing code base
    • GPU usage
  • Data transfer
    • To or from the host machine
    • To or from the Internet
  • Useful links
    • Linux
    • Python
    • Machine Learning
      • Classifiers
      • Natural Language Processing
      • Unsupervised Learning
      • Data Generation
      • Autoencoders
    • Evaluating Neural Networks
    • Recurrent Neural Network
  • Administration
    • Introduction
      • TLJH mamba/pip installations for ALL users
      • TLJH: IDLE-CULLER - Disabled TODO need a sane value
      • Allowing user to log in to your JupyterHub without server user name
    • Connect to the machine via SSH
      • Add SSH Keys
      • Port forwarding
      • X forwarding (running software with GUI)
      • Run Jupyter remotely
    • Managing users
    • System maintenance
    • Other tasks
Powered by GitBook
On this page

Was this helpful?

  1. Usage

Edge Impulse

PreviousPython/CondaNextCommon packages

Last updated 1 year ago

Was this helpful?

Build. Train. Optimize. AI for the edge.

We now support I, and .

You can start your workflow at and fine-tune on ml_workstation before deployment.

See on .

Edge Impulse CL
Edge Impulse Linux
Edge Impulse Python SDK
Edge Impulse Studio
Edge Impulse how easy it is to get started
Page cover image