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Project 3 Generative Visual

Your Name, [email protected] (Your teammate's contact info, if appropriate)

Abstract

Include your abstract here. This should be one paragraph clearly describing your concept, method, and results. This should tell us what architecture/approach you used. Also describe your creative goals, and whether you were successful in achieving them. Also could describe future directions.

Model/Data

Briefly describe the files that are included with your repository:

  • trained models
  • training data (or link to training data)

Code

Your code for generating your project:

  • Python: generative_code.py
  • Jupyter notebooks: generative_code.ipynb

Results

Documentation of your results in an appropriate format, both links to files and a brief description of their contents:

  • image files (.jpg, .png or whatever else is appropriate)
  • move files (uploaded to youtube or vimeo due to github file size limits)
  • ... some other form

Technical Notes

Any implementation details or notes we need to repeat your work.

  • Does this code require other pip packages, software, etc?
  • Does it run on some other (non-datahub) platform? (CoLab, etc.)

Reference

References to any papers, techniques, repositories you used:

  • Papers
  • Repositories
  • Blog posts

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Project 3 Generative Visual for ML for the Arts

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