{"id":21156159,"url":"https://github.com/corvuscodex/basketballai","last_synced_at":"2025-05-07T05:20:53.924Z","repository":{"id":184902021,"uuid":"672654965","full_name":"CorvusCodex/Basketballai","owner":"CorvusCodex","description":"Basketball match winner prediction artificial intelligence ","archived":false,"fork":false,"pushed_at":"2023-09-07T06:57:46.000Z","size":36,"stargazers_count":3,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-03-31T06:41:22.572Z","etag":null,"topics":["ai","artificial-intelligence","basketball","basketball-ai","basketball-ai-prediction","basketball-analysis","basketball-artificial-intelligence","basketball-prediction","basketball-scores","basketball-statistics","basketball-stats","basketballai"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/CorvusCodex.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":".github/FUNDING.yml","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},"funding":{"github":["CorvusCodex"],"patreon":null,"open_collective":null,"ko_fi":"corvuscodex","tidelift":null,"community_bridge":null,"liberapay":"corvuscodex","issuehunt":null,"otechie":null,"lfx_crowdfunding":null,"custom":null}},"created_at":"2023-07-30T20:12:45.000Z","updated_at":"2025-01-08T17:03:26.000Z","dependencies_parsed_at":null,"dependency_job_id":"189e1e5c-b7aa-44f7-9feb-d46fcf4dd922","html_url":"https://github.com/CorvusCodex/Basketballai","commit_stats":null,"previous_names":["corvuscodex/basketballai"],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CorvusCodex%2FBasketballai","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CorvusCodex%2FBasketballai/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CorvusCodex%2FBasketballai/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CorvusCodex%2FBasketballai/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/CorvusCodex","download_url":"https://codeload.github.com/CorvusCodex/Basketballai/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252818795,"owners_count":21808913,"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":["ai","artificial-intelligence","basketball","basketball-ai","basketball-ai-prediction","basketball-analysis","basketball-artificial-intelligence","basketball-prediction","basketball-scores","basketball-statistics","basketball-stats","basketballai"],"created_at":"2024-11-20T11:38:12.216Z","updated_at":"2025-05-07T05:20:53.904Z","avatar_url":"https://github.com/CorvusCodex.png","language":"Python","funding_links":["https://github.com/sponsors/CorvusCodex","https://ko-fi.com/corvuscodex","https://liberapay.com/corvuscodex","https://www.buymeacoffee.com/CorvusCodex/e/165454","https://www.buymeacoffee.com/CorvusCodex/","https://www.buymeacoffee.com/CorvusCodex"],"categories":[],"sub_categories":[],"readme":"\u003cp align=\"center\"\u003e\n  \u003cimg src=\"https://github.com/CorvusCodex/Basketballai/blob/main/basketballai.png?raw=true\"\u003e\n\u003c/p\u003e\n\n## BasketballAi\n\nBasketballAi is a basketball prediction artificial intelligence that uses machine learning to predict the winning team of the next match.\n\n## For people without technical experience you can buy the compiled standalone application for windows from here:\nhttps://www.buymeacoffee.com/CorvusCodex/e/165454\n\n## Installation\n\nTo install BasketballAi, you will need to have Python 3.x and the following libraries installed:\n- numpy\n- tensorflow\n- keras\n- art\n\nYou can install these libraries using pip by running the following command:\n\n'''pip install numpy tensorflow keras art'''\n\n## Usage\n\nTo use BasketballAi, you will need to have a data file containing past football results. This file should be in a comma-separated format, with each row representing a single match and the numbers, rows are in new line without comma. Team 1 must be on the left and team 2 on the right side.\n\nOnce you have the data file, you can run the `basketballai.py` script to train the model and generate prediction. The script will print the generated winner to the console.\n\nIf dataset is needed you can order one from here\nhttps://www.buymeacoffee.com/CorvusCodex/\n\n## Support my work \u0026 Research:\u003cbr\u003e\n\u003eBTC: bc1q7wth254atug2p4v9j3krk9kauc0ehys2u8tgg3\u003cbr\u003e\n\u003eETH \u0026 BNB: 0x68B6D33Ad1A3e0aFaDA60d6ADf8594601BE492F0\u003cbr\u003e\n\u003eBuy me a coffee: https://www.buymeacoffee.com/CorvusCodex\n\n## Disclaimer\n\nThe code within this repository comes with no guarantee, the use of this code is your responsibility. I take NO responsibility and/or liability for how you choose to use any of the source code available here. By using any of the files available in this repository, you understand that you are AGREEING TO USE AT YOUR OWN RISK. Once again, ALL files available here are for EDUCATION and/or RESEARCH purposes ONLY.\nPlease keep in mind that while Basketballai uses advanced machine learning techniques to predict next match result, there is no guarantee that its predictions will be accurate. Football results are inherently random and unpredictable, so it is important to use Basketballai responsibly and not rely solely on its predictions.\n\n\nMIT License\n\nCopyright (c) 2023 CorvusCodex\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcorvuscodex%2Fbasketballai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcorvuscodex%2Fbasketballai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcorvuscodex%2Fbasketballai/lists"}