Your Name, [email protected]
(Your teammates' contact info, if appropriate)
FIRST STEP: Write up a description (in the form of an abstract) of what you will revisit for your final project. This should be one paragraph clearly describing your concept and approach. What are your desired creative goals? How are you expanding on something we covered in the class? How will you present your work next Wednesday in the final project presentations?
Upload your project report (4 pages) as a pdf with your repository, following this template: google docs.
Briefly describe the files that are included with your repository:
- trained models
- training data (or link to training data)
Your code for generating your project:
- Python: generative_code.py
- Jupyter notebooks: generative_code.ipynb
Documentation of your results in an appropriate format, both links to files and a brief description of their contents:
- What you include here will very much depend on the format of your final project
- image files (
.jpg
,.png
or whatever else is appropriate) - 3d models
- movie files (uploaded to youtube or vimeo due to github file size limits)
- audio files
- ... some other form
- image files (
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.)
References to any papers, techniques, repositories you used:
- Papers
- Repositories
- Blog posts