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#GoEngine

Le Bottin des Jeux LinuxLe_bottin_des_jeux_linux@floss.social
2025-04-30

🕹️ Title: KaTrain
🦊️ What's: A libre UI that teaches you how to play Go (in the same way as Scid for chess)
🏡️ -
🐣️ github.com/sanderland/katrain
🔖 #LinuxGaming #ShareYourGames #Flagship #ELearning #GoGUI #GoEngine
📦️ #Libre #FreeEngine #Arch
📖 Our entry: lebottinlinux.vps.a-lec.org/LO

🥁️ Update: 1.16
⚗️ Signific. vers. 🦍️
📌️ Changes: github.com/sanderland/katrain/
🦣️ From: 🛜️ github.com/sanderland/katrain/

🕯️youtube.com/embed/qjxkcKgrsbU
🕯️[fr] youtube.com/embed/-0p2mAspO8s
🎲️ youtube.com/embed/UG357l9LN-Q
🎲️ youtube.com/embed/8Q-GxpPzCAs

🕶️ A view of the IU, with the main section on the left featuring the board (known as the goban), on which several black and white stones are placed. The AI is deep in thought, with colored dots representing the evaluation of the best moves to play (the darker the dots, the better the probabilities). On the right-hand side of the UI, players' score curves for each move and an evaluation of their chances of winning the game in real time. 📚️ KaTrain is a libre, multi-platform interface for learning the game of Go by analyzing games (in the same way as Scid for chess) and providing feedback on the moves made by the KataGo AI (free & integrated into the interface). It provides an analysis of the player's games, indicating the most costly moves in terms of points lost. It also allows you to play against the AI (at different levels and playing styles) and get immediate feedback on the mistakes you've made, as well as the possibility of going back. It is also possible to automatically generate targeted SGF analyses showing the biggest mistakes.
Le Bottin des Jeux LinuxLe_bottin_des_jeux_linux@floss.social
2025-04-10

🛠️ Title: KataGo
🦊️ What's: A free strong AI for the Go game, using Deep Learning
🏡️ katagotraining.org/
🐣️ github.com/lightvector/KataGo
🔖 #LinuxGaming #ShareYourGames #BoardGame #GoEngine
📦️ #FreeEngine #Bin #Arch #RPM
📖 Our entry: lebottinlinux.vps.a-lec.org/LO

🥁️ Update: 1.16.0
⚗️ Code improvement 🚀️
📌️ Changes: github.com/lightvector/KataGo/
🦣️ From: 🛜️ github.com/lightvector/KataGo/

🕯️youtube.com/embed/uYT-32lCK5k
🕯️youtube.com/embed/I3YqTN0z6Cc
🎲️ youtube.com/embed/PtE36yg7E3w
🎲️ youtube.com/embed/FdpB9eWqLHI

🕶️ The engine logo 📚️ KataGo is a free, multi-platform, AI for the Go game (an AI specialized in this type of games) using Deep Learning (a process similar to AlphaZero with many improvements and enhancements). It is ranked among the best in the world (estimated power 5274 Elo/18D for v. g170, ranked 1st ahead of Leela Zero on GitHub in March 2021; humans reach 3800 Elo), communicating with the GTP protocol. It can predict score and territory, play games with reasonable handicap, and handle multiple board sizes and rules, all with the same neural network.
Le Bottin des Jeux LinuxLe_bottin_des_jeux_linux@floss.social
2025-03-16

🕹️ Title: LizzieYzy
🦊️ What's: A libre tool for real-time analysis of Go games
🏡️ -
🐣️ github.com/yzyray/lizzieyzy
🔖 #LinuxGaming #ShareYourGames #Flagship #ELearning #GoGUI #GoEngine
📦️ #Libre #Bin #Arch
📖 Our entry: lebottinlinux.vps.a-lec.org/LO
🕵‍ 2.5.3: 👏️⭐⭐⭐⭐

🥁️ Update: 2.5.3
⚗️ New features 💎
📌️ Changes: github.com/yzyray/lizzieyzy/re
🦣️ From: 🛜️ github.com/yzyray/lizzieyzy/re

🎲️[jp] youtube.com/embed/dEIOThCc0aQ
🎲️[jp] youtube.com/embed/uTyoYLhf2yQ
🎲️[jp] youtube.com/embed/7KLsmdAe5Ss

🕶️ A view of its UI (v.2.5.3, on my Linux PC) at the start of the game (without AI). The menus are at the top of the UI, the board is in the center and on either side are graphics and a reduction of the board. At the bottom of the UI are a number of command buttons, including navigation buttons for moving forward and backward in the game analysis. 📚️ LizzieYzy is a libre, multi-platform tool for real-time analysis of Go games based on a Go engine, derived from the Lizzie interface. Compared with Lizzie (which only supports the Leela Zero engine), it brings support for other Go game engines (such as Katago, LeelaZero, Leela, ZenGTP, SAI, Pachi and other GTP engines), new features (Hawk Eye, Flash Analyze, Batch Analyze, Estimate, Game Engine, Tsumego Analysis, Double Engine Mode, Visualization KataGo Distributed Training), support for retina monitors, and drag-and-drop interface resizing.
Le Bottin des Jeux LinuxLe_bottin_des_jeux_linux@floss.social
2024-12-29

🛠️ Title: Pachi
🦊️ What's: A libre AI for the game of Go, with a fairly good level (power estimated at 1958 Elo/1d)
🏡️ pachi.or.cz/
🐣️ github.com/pasky/pachi
🔖 #LinuxGaming #ShareYourGames #Flagship #BoardGame #GoEngine
📦️ #Libre #Bin #Arch #RPM
📖 Our entry: 🛒️Homeless

🥁️ Update: 12.84
⚗️ Hotfix 🐞️
📌️ Changes: github.com/pasky/pachi/release
🦣️ From: 🛜️ github.com/pasky/pachi/release

🎮️ youtube.com/embed/f8iFkFhyX-Q
🎮️ youtube.com/embed/kywVx-zVyuI

🕶️ The engine logo 📚️ Pachi is a libre and multi-platform AI for the game of Go (an AI specialized in this type of games), with a fairly good level (power estimated at 1958 Elo/1D for the v.12.50 5k, ranked in the middle of the chart on GitHub in March 2021; humans reach 3800 Elo), communicating with the GTP protocol. Its strong points: it is libre, relatively simple to implement, and exceeds the power of GNU Go, especially if one activates the DCNN (neural network for its movements, making it 2 dan KGS in 19x19, or even 4 dan, depending on the hardware used, on a scale max of 9d) placing it in the category of good engines. Excellent!
Le Bottin des Jeux LinuxLe_bottin_des_jeux_linux@floss.social
2024-08-31

🕹️ Title: KaTrain
🦊️ What's: A libre UI that teaches you how to play Go (in the same way as Scid for chess)
🏡️ -
🐣️ github.com/sanderland/katrain
🔖 #LinuxGaming #ShareYourGames #Flagship #ELearning #GoGUI #GoEngine
📦️ #LibreUI #FreeGameEngine #Arch
📖 Our entry: lebottindesjeuxlinux.tuxfamily

🥁️ Update: 1.15
⚗️ New features 💎
📌️ Changes: github.com/sanderland/katrain/
🦣️ From: 🛜️ github.com/sanderland/katrain/

🕯️youtube.com/embed/qjxkcKgrsbU
💥️🕯️[fr] youtube.com/embed/-0p2mAspO8s
🎲️ youtube.com/embed/UG357l9LN-Q
🎲️ youtube.com/embed/8Q-GxpPzCAs

🕶️ A view of the IU, with the main section on the left featuring the board (known as the goban), on which several black and white stones are placed. The AI is deep in thought, with colored dots representing the evaluation of the best moves to play (the darker the dots, the better the probabilities). On the right-hand side of the UI, players' score curves for each move and an evaluation of their chances of winning the game in real time. 📚️ KaTrain is a libre, multi-platform interface for learning the game of Go by analyzing games (in the same way as Scid for chess) and providing feedback on the moves made by the KataGo AI (free & integrated into the interface). It provides an analysis of the player's games, indicating the most costly moves in terms of points lost. It also allows you to play against the AI (at different levels and playing styles) and get immediate feedback on the mistakes you've made, as well as the possibility of going back. It is also possible to automatically generate targeted SGF analyses showing the biggest mistakes.
Le Bottin des Jeux LinuxLe_bottin_des_jeux_linux@floss.social
2024-08-06

🛠️ Title: KataGo
🦊️ What's: A free strong AI for the Go game, using Deep Learning
🏡️ katagotraining.org/
🐣️ github.com/lightvector/KataGo
🔖 #LinuxGaming #ShareYourGames #BoardGame #GoEngine
📦️ #FreeGameEngine #Bin #Arch #RPM
📖 Our entry: lebottindesjeuxlinux.tuxfamily

🥁️ Update: 1.14.0➜1.15.3
⚗️ Major upgrade (Stable) 🍎️
📌️ Changes: github.com/lightvector/KataGo/
🦣️ From: 🛜️ github.com/lightvector/KataGo/

🕯️youtube.com/embed/uYT-32lCK5k
🕯️youtube.com/embed/I3YqTN0z6Cc
🎲️ youtube.com/embed/PtE36yg7E3w
🎲️ youtube.com/embed/FdpB9eWqLHI

🕶️ The engine logo 📚️ KataGo is a free, multi-platform, AI for the Go game (an AI specialized in this type of games) using Deep Learning (a process similar to AlphaZero with many improvements and enhancements). It is ranked among the best in the world (estimated power 5274 Elo/18D for v. g170, ranked 1st ahead of Leela Zero on GitHub in March 2021; humans reach 3800 Elo), communicating with the GTP protocol. It can predict score and territory, play games with reasonable handicap, and handle multiple board sizes and rules, all with the same neural network.
Le Bottin des Jeux LinuxLe_bottin_des_jeux_linux@floss.social
2023-12-28

🛠️ Title: KataGo
🦊️ What's: A free strong AI for the Go game, using Deep Learning
🏡️ katagotraining.org/
🐣️ github.com/lightvector/KataGo
🔖 #LinuxGaming #ShareYourGames #BoardGame #GoEngine
📦️ #FreeGameEngine #Bin #Arch
📖 Our entry: lebottindesjeuxlinux.tuxfamily

🥁️ Update: 1.14.0
⚗️ Major upgrade 🪙️
📌️ Changes: katagotraining.org
🐘 From: 📶️ github.com/lightvector/KataGo/

🕯️ youtube.com/embed/uYT-32lCK5k
🕯️ youtube.com/embed/I3YqTN0z6Cc
🎲️ youtube.com/embed/PtE36yg7E3w
🎲️ youtube.com/embed/FdpB9eWqLHI
🎲️[fr] youtube.com/embed/Hqzb33Asp3I

The engine logo KataGo is a free, multi-platform, AI for the Go game (an AI specialized in this type of games) using Deep Learning (a process similar to AlphaZero with many improvements and enhancements). It is ranked among the best in the world (estimated power 5274 Elo/18D for v. g170, ranked 1st ahead of Leela Zero on GitHub in March 2021; humans reach 3800 Elo), communicating with the GTP protocol. It can predict score and territory, play games with reasonable handicap, and handle multiple board sizes and rules, all with the same neural network.
Le Bottin des Jeux LinuxLe_bottin_des_jeux_linux@floss.social
2023-07-14

🕹️ Title: KaTrain
🦊️ What's: A libre UI that teaches you how to play Go (in the same way as Scid for chess)
🏡️ -
🐣️ github.com/sanderland/katrain
🔖 #LinuxGaming #ShareYourGames #Flagship #ELearning #GoGUI #GoEngine
📦️ #LibreUI #FreeGameEngine #Arch
📖 Our entry: lebottindesjeuxlinux.tuxfamily

🥁️ Update: 1.14
⚗️ Major upgrade 🪙️
📌️ Changes: github.com/sanderland/katrain/
🐘 From: 📶️ github.com/sanderland/katrain/

🕯️ youtube.com/embed/qjxkcKgrsbU
🕯️[fr] youtube.com/embed/Hqzb33Asp3I
🎲️ youtube.com/embed/UG357l9LN-Q
🎲️ youtube.com/embed/8Q-GxpPzCAs

A view of the IU, with the main section on the left featuring the board (known as the goban), on which several black and white stones are placed. The AI is deep in thought, with colored dots representing the evaluation of the best moves to play (the darker the dots, the better the probabilities). On the right-hand side of the UI, players' score curves for each move and an evaluation of their chances of winning the game in real time. KaTrain is a libre, multi-platform interface for learning the game of Go by analyzing games (in the same way as Scid for chess) and providing feedback on the moves made by the KataGo AI (free & integrated into the interface). It provides an analysis of the player's games, indicating the most costly moves in terms of points lost. It also allows you to play against the AI (at different levels and playing styles) and get immediate feedback on the mistakes you've made, as well as the possibility of going back. It is also possible to automatically generate targeted SGF analyses showing the biggest mistakes.
Le Bottin des Jeux LinuxLe_bottin_des_jeux_linux@floss.social
2023-07-14

🛠️ Title: Pachi
🦊️ What's: A libre AI for the game of Go, with a fairly good level (power estimated at 1958 Elo/1d)
🏡️ pachi.or.cz/
🐣️ github.com/pasky/pachi
🔖 #LinuxGaming #ShareYourGames #Flagship #BoardGame #GoEngine
📦️ #Libre #Bin #Arch #RPM
📖 Our entry: lebottindesjeuxlinux.tuxfamily

🥁️ Update: 12.82
⚗️ Code improvement 🚀️
📌️ Changes: github.com/pasky/pachi/release
🐘 From: 📶️ github.com/pasky/pachi/release

🎮️ youtube.com/embed/f8iFkFhyX-Q
🎮️ youtube.com/embed/kywVx-zVyuI

The engine logo Pachi is a libre and multi-platform AI for the game of Go (an AI specialized in this type of games), with a fairly good level (power estimated at 1958 Elo/1D for the v.12.50 5k, ranked in the middle of the chart on GitHub in March 2021; humans reach 3800 Elo), communicating with the GTP protocol. Its strong points: it is libre, relatively simple to implement, and exceeds the power of GNU Go, especially if one activates the DCNN (neural network for its movements, making it 2 dan KGS in 19x19, or even 4 dan, depending on the hardware used, on a scale max of 9d) placing it in the category of good engines. Excellent!

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