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https://github.com/agnostiqhq/tutorials_covalent_pydata_2023

Covalent tutorial notebooks and slides for PyData 2023, NYC

https://github.com/agnostiqhq/tutorials_covalent_pydata_2023

Science Score: 13.0%

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    Low similarity (6.3%) to scientific vocabulary

Keywords

ai aws covalent data-science gena hpc llm ml pydata pydata-nyc
Last synced: 7 months ago · JSON representation

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Covalent tutorial notebooks and slides for PyData 2023, NYC

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  • Open Issues: 1
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ai aws covalent data-science gena hpc llm ml pydata pydata-nyc
Created over 2 years ago · Last pushed over 2 years ago
Metadata Files
Readme

README.md

Covalent Tutorials - PyData NYC 2023

Tutorial notebooks for PyData 2023 in New York City, NY.

Covalent Quick Start

  • 1-tutorial-quickstart.ipynb

A bare-minimum example of how to use Covalent to run a simple workflow.

Distributed ML with Covalent and Dask

  • 2-tutorial-remote-dask.ipynb

A triggered Covalent workflow that submits jobs to a remote Dask cluster running on AWS.

Setup Instructions

  • see terraform/tutorial-dask/README.md for instructions.

AI Image Generator for Wikipedia Articles

  • 3-tutorial-llm.ipynb
  • 3-tutorial-llm-covalent-cloud.ipynb

Using Covalent to run a machine learning workflows using AWS Batch.

Setup Instructions

  • Covalent Open Source: see terraform/tutorial-llm/README.md for instructions.
  • Covalent Cloud: no setup required.

🔗 Links

Owner

  • Name: Agnostiq
  • Login: AgnostiqHQ
  • Kind: organization
  • Email: contact@agnostiq.ai
  • Location: Toronto

Developing Software for Advanced Computing

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Dependencies

requirements-cc.txt pypi
  • accelerate ==0.22.0
  • covalent-cloud ==0.23.1rc0
  • diffusers ==0.20.2
  • sentencepiece ==0.1.99
  • torch ==2.1.0
  • transformers ==4.33.1
  • wikipedia-api ==0.6.0
requirements.txt pypi
  • accelerate ==0.22.0
  • covalent ==0.220.0.post2
  • covalent-awsbatch-plugin ==0.40.0
  • diffusers ==0.20.2
  • ipywidgets ==8.1.1
  • matplotlib ==3.7.3
  • sentencepiece ==0.1.99
  • torch ==2.1.0
  • torchvision ==0.16.0
  • transformers ==4.33.1
  • wikipedia-api ==0.6.0
environment.yml conda
  • ipywidgets
  • notebook
  • pip
  • python 3.8.18.*