donkirkby / donkirkby/zero-play
Compare with Minigo
Open
- Dominant language
- Python
- Stars
- 10
- Forks
- 1
- PR merge metrics
- No merged PRs in 30d
Description
[Minigo] sounds promising. Maybe it has all the features I need for the Shibumi games project, and I don't need to build my own. It was based on [MuGo], so that might also be useful.
[Minigo]: https://github.com/tensorflow/minigo
[MuGo]: https://github.com/brilee/MuGo
Contributor guide
Research direction
Start by reviewing the linked Minigo and MuGo projects and compare their features with the needs of the Shibumi games project. No repository files or tests are named; done would require a documented decision about whether an existing project meets those needs or whether zero-play must build its own support.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- game-dev, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100