{"id":22014874,"url":"https://github.com/jaxvanyang/mygo","last_synced_at":"2026-05-06T05:37:22.861Z","repository":{"id":260099241,"uuid":"788822592","full_name":"jaxvanyang/mygo","owner":"jaxvanyang","description":"Experimental Go bot implemented in PyTorch.","archived":false,"fork":false,"pushed_at":"2024-12-16T03:16:56.000Z","size":3635,"stargazers_count":0,"open_issues_count":2,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-28T15:32:24.644Z","etag":null,"topics":["alphago","betago","bot","game","go-game","learning-by-doing","machine-learning","pytorch","weiqi"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/jaxvanyang.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-04-19T06:42:15.000Z","updated_at":"2024-12-16T03:17:00.000Z","dependencies_parsed_at":"2025-01-28T15:32:42.880Z","dependency_job_id":"c87a1b19-97c6-4ee3-8c4f-75759a1aa696","html_url":"https://github.com/jaxvanyang/mygo","commit_stats":null,"previous_names":["jaxvanyang/mygo"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jaxvanyang%2Fmygo","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jaxvanyang%2Fmygo/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jaxvanyang%2Fmygo/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jaxvanyang%2Fmygo/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jaxvanyang","download_url":"https://codeload.github.com/jaxvanyang/mygo/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245078145,"owners_count":20557279,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["alphago","betago","bot","game","go-game","learning-by-doing","machine-learning","pytorch","weiqi"],"created_at":"2024-11-30T04:18:40.092Z","updated_at":"2026-05-06T05:37:22.830Z","avatar_url":"https://github.com/jaxvanyang.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# MyGo\n\n\u003e It's my Go bot!\n\nExperimental Go bot implemented in PyTorch.\n\nPS: This project has nothing to do with [MyGO!!!!!](https://en.wikipedia.org/wiki/BanG_Dream!#Introduction_of_MyGO!!!!!_and_Ave_Mujica_(2022%E2%80%93present)),\nexcept its name.\n\n## References\n\n- Mainly the book: [*Deep Learning and the Game of Go*](https://www.manning.com/books/deep-learning-and-the-game-of-go),\n  Chinese version named 《深度学习与围棋》.\n- The repos: [BetaGo](https://github.com/maxpumperla/betago), [Code and other material for the book](https://github.com/maxpumperla/deep_learning_and_the_game_of_go).\n- The papers:\n\t- AlphaGo: [Mastering the game of Go with deep neural networks and tree search](https://www.nature.com/articles/nature16961).\n\t- AlphaGo Zero: [Mastering the game of Go without human knowledge](https://www.nature.com/articles/nature24270).\n- [GNU Go](https://www.gnu.org/software/gnugo): the CLI design reference.\n- [SGF file format FF[4]](https://www.red-bean.com/sgf).\n- [GTP - Go Text Protocol](https://www.lysator.liu.se/~gunnar/gtp).\n- [Tromp-Taylor rules](https://tromp.github.io/go.html).\n- [Monte Carlo tree search - Wikipedia](https://en.wikipedia.org/wiki/Monte_Carlo_tree_search).\n\n## Notes\n\n- [Chapter 7 training reproducibility](https://github.com/maxpumperla/deep_learning_and_the_game_of_go/issues/108).\n- [PyTorch CrossEntropyLoss](https://pytorch.org/docs/stable/generated/torch.nn.CrossEntropyLoss.html#torch.nn.CrossEntropyLoss)\n  expects the input to contain the **unnormalized** logits, which is different from Keras.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjaxvanyang%2Fmygo","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjaxvanyang%2Fmygo","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjaxvanyang%2Fmygo/lists"}