https://github.com/mikeizbicki/deep-tda

https://github.com/mikeizbicki/deep-tda

Last synced: 6 days ago
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• Host: GitHub
• URL: https://github.com/mikeizbicki/deep-tda
• Owner: mikeizbicki
• Created: 2019-03-20T00:23:52.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2022-11-22T03:32:29.000Z (about 2 years ago)
• Last Synced: 2024-11-08T22:36:12.937Z (2 months ago)
• Language: TeX
• Size: 7.6 MB
• Stars: 17
• Watchers: 6
• Forks: 4
• Open Issues: 14
• Metadata Files:
  • Readme: README.md

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README

        
The `src` folder contains a file `mkProjections.py` which shows how to use the `tensornets` library to extract the projected data points at each layer.

Right now, it tries to store all the data on disk (in the `projections` folder), 

but this is too much data.

So, you need to:

- [ ] Modify the code so that it writes only a single layer to disk

- [ ] Write another python script that takes that layer as input and outputs a bar code/persistence diagram

- [ ] Write a shell script that automates this process by calling `mkProjections.py`, then calling the other script, then deletes the intermediate results, then repeats the loop 

There's about 10T free in the `/data` partition right now,

but try to keep your usage down in the 1T range as things might start breaking if the disk gets full.