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Deploy ML models quickly in <3 lines of code!

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quickserve

Quickly build inference engines from jupyter notebooks and deploy on web and edge in 3 lines of code

Notes regarding getting started

  • Please check requirements.txt for list of dependencies. Install scripts will be added later.

  • The pre-trained models used in the demo notebooks/submission videos are from a CV library built by one of the members. For evaluation purposes on local machines, it can be downloaded here.

  • ngrok is also a dependency. Future commits will focus on API based authentication but for now, ngrok should be authenticated from CLI.

  • All features pass build on linux machine (Ubuntu 18.04).

Get started

  • Clone the repo!
$ git clone https://github.com/pranjaldatta/quick-serve.git
  • Install with pip
$ pip install .

Authors

  • Aditi Patel
  • Sampada Bareja
  • Priyesh Sharan
  • Aniket Sinha
  • Pranjal Datta

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Deploy ML models quickly in <3 lines of code!

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  • Jupyter Notebook 25.0%
  • HTML 23.9%
  • JavaScript 19.7%
  • Dart 12.3%
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  • CSS 6.3%
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