{"id":13701649,"url":"https://github.com/numerai/example-scripts","last_synced_at":"2026-04-03T21:07:17.888Z","repository":{"id":41416602,"uuid":"78245673","full_name":"numerai/example-scripts","owner":"numerai","description":"A collection of scripts and notebooks to help you get started quickly.","archived":false,"fork":false,"pushed_at":"2026-03-14T00:20:17.000Z","size":42338,"stargazers_count":1112,"open_issues_count":2,"forks_count":305,"subscribers_count":71,"default_branch":"master","last_synced_at":"2026-03-14T12:26:09.032Z","etag":null,"topics":["cryptocurrency","machine-learning","numerai","quant-finance"],"latest_commit_sha":null,"homepage":"https://numer.ai/","language":"Jupyter Notebook","has_issues":true,"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/numerai.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.txt","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,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":"AGENTS.md","dco":null,"cla":null}},"created_at":"2017-01-06T23:08:38.000Z","updated_at":"2026-03-14T00:20:21.000Z","dependencies_parsed_at":"2023-12-20T09:46:28.239Z","dependency_job_id":"d451aa60-632e-405b-aafb-6c4bfe9ff297","html_url":"https://github.com/numerai/example-scripts","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/numerai/example-scripts","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/numerai%2Fexample-scripts","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/numerai%2Fexample-scripts/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/numerai%2Fexample-scripts/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/numerai%2Fexample-scripts/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/numerai","download_url":"https://codeload.github.com/numerai/example-scripts/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/numerai%2Fexample-scripts/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31377517,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-03T17:53:18.093Z","status":"ssl_error","status_checked_at":"2026-04-03T17:53:17.617Z","response_time":107,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["cryptocurrency","machine-learning","numerai","quant-finance"],"created_at":"2024-08-02T20:01:53.443Z","updated_at":"2026-04-03T21:07:17.884Z","avatar_url":"https://github.com/numerai.png","language":"Jupyter Notebook","funding_links":[],"categories":["Jupyter Notebook"],"sub_categories":[],"readme":"# Numerai Example Scripts\nThe official place to start playing the Numerai tournaments.\n\nNeed help? [Find us on Discord.](https://discord.gg/numerai)\n\n## Using Agents\nNumerai is quickly developing open-source agent skills for you to use in the tournament. You can start architecting your very own AI scientist. For example:\n\n```\ngit clone git@github.com:numerai/example-scripts\ncd example-scripts \u0026\u0026 curl -sL http://numer.ai/install-mcp.sh | bash\ncodex exec --yolo \"find the best neural network architecture to predict target ender\"\n```\n\n## Notebooks\nWe highly recommend getting started with Agents using the above section. But, if you're looking to kill some time on artisan data science, you can check out our tutorial notebooks here as well: \n\n- Hello Numerai: Start here if you are new! Explore the dataset and build your first model. \u003ca target=\"_blank\" href=\"https://colab.research.google.com/github/numerai/example-scripts/blob/master/numerai/hello_numerai.ipynb\"\u003e\n  \u003cimg src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/\u003e\n\u003c/a\u003e\n\n- Feature Neutralization: Learn how to measure feature risk and control it with feature neutralization. \u003ca target=\"_blank\" href=\"https://colab.research.google.com/github/numerai/example-scripts/blob/master/numerai/feature_neutralization.ipynb\"\u003e\n  \u003cimg src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/\u003e\n\u003c/a\u003e\n\n- Target Ensemble: Learn how to create an ensemble trained on different targets. \u003ca target=\"_blank\" href=\"https://colab.research.google.com/github/numerai/example-scripts/blob/master/numerai/target_ensemble.ipynb\"\u003e\n  \u003cimg src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/\u003e\n\u003c/a\u003e\n\n- Model Upload: A barebones example of how to build and upload your model to Numerai. \u003ca target=\"_blank\" href=\"https://colab.research.google.com/github/numerai/example-scripts/blob/master/numerai/example_model.ipynb\"\u003e\n  \u003cimg src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/\u003e\n\u003c/a\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnumerai%2Fexample-scripts","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnumerai%2Fexample-scripts","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnumerai%2Fexample-scripts/lists"}