References and design doc request
Open
documentation
- Dominant language
- Jupyter Notebook
- Stars
- 524
- Forks
- 64
- Avg merge
- 4h 1m
- Merged PRs (30d)
- 3
Description
Hi all,
I learnt about this library from a talk I wanted from the TUM AI lecture series. It looks very promising.
However, being fairly new to the field, it would be great if you could point to some references to follow to understand the algorithms and designs of GTSFM and how it compares to other available packages.
Thanks!
Contributor guide
Assessment
This issue has not been assessed yet.