How to manage cloud GPU and storage for large self ML project

This page summarizes the projects mentioned and recommended in the original post on /r/learnmachinelearning

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  • colabcode

    Run VSCode (codeserver) on Google Colab or Kaggle Notebooks

  • I have existing colab notebook which installs Colabcode in notebook. It mounts GDrive in colab's VM, installs vscodeserver on colab VM and provides ngrok tunnel URL which allows you to access vscode in the browser. The URL looks something like this: https://3118-34-126-96-166.ngrok.io

  • ngrok

    Expose your localhost to the web. Node wrapper for ngrok. (by bubenshchykov)

  • I have existing colab notebook which installs Colabcode in notebook. It mounts GDrive in colab's VM, installs vscodeserver on colab VM and provides ngrok tunnel URL which allows you to access vscode in the browser. The URL looks something like this: https://3118-34-126-96-166.ngrok.io

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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