Sabaki VS The Many Faces of Go

Compare Sabaki VS The Many Faces of Go and see what are their differences

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Sabaki

Sabaki is cross-platform graphical UI for Go/Baduk/Weiqi game board and SGF (Smart Go Format) editor. Free, open source, based on Electron.

The Many Faces of Go

The best software for learning and playing go. Automaticaly adjusts to you rank from beginner to Dan level player. Opening and tactical problems for study.

Landing page //
2020-09-20

Landing page //
2020-06-03

AikidoTai Sabaki review

The Many Faces of Go videos

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The Many Faces of GO Unboxing (PC) ENGLISH

Category Popularity

0-100% (relative to Sabaki and The Many Faces of Go)

The Many Faces of Go

Online Games

69 69%

Online Games

31% 31

Games

63 63%

Games

37% 37

Chess

61 61%

Chess

39% 39

Board Games

100 100%

Board Games

0% 0

User comments

Share your experience with using Sabaki and The Many Faces of Go. For example, how are they different and which one is better?

Social recommendations and mentions

Based on our record, Sabaki seems to be more popular. It has been mentiond 8 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Sabaki mentions (8)

I wonder if these ChatGPT answers will every get nuked
I've been using ChatGPT since launch and constantly seeking out examples of how others have been using it. A few years ago I started using KataGo with Sabaki to improve my go-playing abilities. I've known about token embeddings in neural networks before ChatGPT was a twinkle in OpenAI's eye. I was there, but I haven't seen everything you've seen, so please show me. If the truth is that ChatGPT has canned responses... Source: about 1 year ago
Tough semeai during one of my recent tournament games. Black to play and kill the triangled group.
It's a feature with sabaki, to make it look resemble a real board more. Source: about 1 year ago
Learning to score a game.
That said, if you can download some sgfs and view them in a tool like [sabaki]((https://sabaki.yichuanshen.de/), you can try and match the score that the computer reports. You can get SGFs from here - other sources are available. Be sure to find games which were won on points. You can't count a game won by resignation. Source: over 1 year ago
Contributing to open-source go projects?
It's a shame because KGS would benefit greatly from a modern client. I think at this point writing a new client from scratch would be preferable, or maybe taking something like [Sabaki](https://sabaki.yichuanshen.de/) and turning it into a KGS client might be viable. Speaking of which, Sabaki is a good option for those looking to contribute to an open source project. Source: over 1 year ago
DeepMind's Player of Games, a general-purpose game algorithm
You can also just download pre-trained models. Get those set up and then install Sabaki (https://sabaki.yichuanshen.de/) and connect it to your KataGo... Instant (ok, a few hours probably if it's your first time setting it up) superhuman Go AI. There's even an npm package you can use to process SGF files and automatically score moves as good/questionable/bad + generate variations that were better choices:... - Source: Hacker News / over 2 years ago