{"id":18001318,"url":"https://github.com/afshinm/juggernaut","last_synced_at":"2025-04-05T12:05:00.228Z","repository":{"id":62441454,"uuid":"88095037","full_name":"afshinm/juggernaut","owner":"afshinm","description":"Neural Network in Rust","archived":false,"fork":false,"pushed_at":"2017-11-05T19:18:59.000Z","size":18214,"stargazers_count":251,"open_issues_count":5,"forks_count":12,"subscribers_count":7,"default_branch":"master","last_synced_at":"2025-03-29T11:07:16.817Z","etag":null,"topics":["neural-network","nn","rust"],"latest_commit_sha":null,"homepage":"http://juggernaut.rs","language":"Rust","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/afshinm.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2017-04-12T20:50:19.000Z","updated_at":"2024-10-16T01:52:28.000Z","dependencies_parsed_at":"2022-11-01T22:02:08.898Z","dependency_job_id":null,"html_url":"https://github.com/afshinm/juggernaut","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/afshinm%2Fjuggernaut","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/afshinm%2Fjuggernaut/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/afshinm%2Fjuggernaut/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/afshinm%2Fjuggernaut/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/afshinm","download_url":"https://codeload.github.com/afshinm/juggernaut/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247332602,"owners_count":20921853,"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":["neural-network","nn","rust"],"created_at":"2024-10-29T23:16:56.319Z","updated_at":"2025-04-05T12:05:00.205Z","avatar_url":"https://github.com/afshinm.png","language":"Rust","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Juggernaut [![Build Status](https://travis-ci.org/afshinm/juggernaut.svg?branch=master)](https://travis-ci.org/afshinm/juggernaut) [![Coverage Status](https://coveralls.io/repos/github/afshinm/juggernaut/badge.svg?branch=master)](https://coveralls.io/github/afshinm/juggernaut?branch=master)\n\u003e Juggernaut is an experimental Neural Network written in Rust\n\n\u003cimg src=\"http://juggernaut.rs/static/images/art.png\" alt=\"Juggernaut\" class=\"inline\"/\u003e\n\n# Demo\n\n[Juggernaut Demo](http://juggernaut.rs/demo/)\n\n# Example\n\nWant to setup a simple network using Juggernaut? \n\nThis sample creates a random binary operation network with one hidden layer:\n\n```rust\nfn main() {\n    let dataset = vec![\n        Sample::new(vec![0f64, 0f64, 1f64], vec![0f64]),\n        Sample::new(vec![0f64, 1f64, 1f64], vec![0f64]),\n        Sample::new(vec![1f64, 0f64, 1f64], vec![1f64]),\n        Sample::new(vec![1f64, 1f64, 1f64], vec![1f64])\n    ];\n    \n    let mut test = NeuralNetwork::new();\n\n    let sig_activation = Sigmoid::new();\n\n    // 1st layer = 2 neurons - 3 inputs\n    test.add_layer(NeuralLayer::new(2, 3, sig_activation));\n\n    // 2nd layer = 1 neuron - 2 inputs\n    test.add_layer(NeuralLayer::new(1, 2, sig_activation));\n\n    test.error(|err| {\n        println!(\"error({})\", err.to_string());\n    });\n\n    test.train(dataset, 1000, 0.1f64);\n    \n    let think = test.evaluate(Sample::predict(vec![1f64, 0f64, 1f64]));\n\n    println!(\"Evaluate [1, 0, 1] = {:?}\", think.get(0, 0));\n\n}\n\n```\n\nand the output of `think` is the prediction of the network after training.\n\n# Documentation\n\n[https://docs.rs/juggernaut](https://docs.rs/juggernaut)\n\n# Build\n\nTo build the demo, run:\n\n```\ncargo build --example helloworld --verbose\n```\n\nthen to run the compiled file:\n\n```\n./target/debug/examples/helloworld\n```\n\n# Test\n\nInstall Rust 1.x and run:\n\n```\ncargo test\n```\n\n# Authors\n\n- Afshin Mehrabani (afshin.meh@gmail.com) \n- Addtheice https://github.com/addtheice  \n\nand [contributors](https://github.com/afshinm/juggernaut/graphs/contributors)\n\n# FAQ\n\n### Contributing\n\nFork the project and send PRs + unit tests for that specific part. \n\n### \"Juggernaut\"?\n\nJuggernaut is a Dota2 hero and I like this hero. Juggernaut is a powerful hero, when he has enough farm.\n\n# License\n\nGNU General Public License v3.0\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fafshinm%2Fjuggernaut","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fafshinm%2Fjuggernaut","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fafshinm%2Fjuggernaut/lists"}